Description: 

This course will cover familiar epidemiological concepts like bias, confounding, and other systematic errors, but will go into more details with a focus on how and why the validity of results might be endangered. The use of Directed Acyclic Graphs for identifying sets of covariates necessary for robust adjustment of models will be introduced.

The identification and interpretation of interaction/effect modification will be covered with the aim of describing how subgroups might behave differently.

Finally, the course will cover more recent developments in epidemiology, by introducing causal inference from observational studies using counterfactual models and propensity scores, mediation analyses and the use of instrumental variables.

The course will include lectures and group work based on selected papers and problems related to the projects of the participants.

Literature

Selected papers and book chapters.

Evaluation

Active participation and presentation from group work.

 

Prerequisites

Skills corresponding to basic epidemiology and basic statistical courses.


Organizer: Associate professor Henrik Bøggild, e-mail: boggild@hst.aau.dk

Lecturers: Associate professor Henrik Bøggild, professor Kirsten Fonager, professor Christian Torp-Pedersen and invited lectures, Public Health and Epidemiology Group, Health Science and Technology, Aalborg University, Department of Social Medicine and Unit of Epidemiology and Biostatistics, Aalborg University Hospital

ECTS: 2,4

Time: 3-5 MARCH 2020 from 9 AM to 4 PM

Place: Aalborg University, Forskningens Hus, Sdr. Skovvej 15, 9000 Aalborg, 

3.-4. March room 405
5. March room 106

Zip code:

City:
Aalborg

Number of seats: 30

Deadline: 11. February 2020

Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Welcome to Clinical Research

Description:

The course aims to provide a comprehensive review of clinical research with emphasis on how to design and how to perform a clinical study and thus give the participant the necessary tools to perform clinical trials. The course contains a comprehensive review on how to plan and perform clinical trials involving humans. Different designs (the randomized controlled trial and other designs including more specialized designs) are reviewed and the planning of a clinical trial is presented. Power calculations are reviewed in detail in order to provide the participant with the necessary tools to give an estimate of the number of subjects needed for a clinical trial. Methods (biochemical methods, diagnostic tests, reliability, coefficient of variation etc.) are reviewed and concepts such as evidence based medicine, collaboration with the medical industry, the legal aspects of a clinical trial (how to write a contract, legal obligations etc.), how to review a paper, practical aspects of biobanks, and how to perform meta-analyses are covered. Emphasis is put on practical exercises related to the topics mentioned above along with lectures.

Organizer: Professor, consultant, PhD DrMedSc Peter Vestergaard, e-mail: pev@dcm.aau.dk 

Lecturers:
Peter Vestergaard, Louise Bornebusch Lund, Bo Kristensen Jessen, Louise Hansen, Britt Laugesen, Søren Risom Kristensen, Henrik Krarup, Jesper Karmisholt, Bodil Steen Rasmussen

ECTS: 3,2

Time: 7-10 December 2020

Place: Aalborg University, Niels Jernes Vej 12A,

Zip code: 9220

City: Aalborg

Number of seats:

Deadline: 16 November 2020

Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Welcome to Epidemiology - basic principles


Description: 

This course deals with basic principles of epidemiology and will prepare the students for further courses in advanced epidemiology. The course will consist of lectures and group-work based on scientific papers.


The main themes are:

      • Descriptive studies
      • Measures of associations
      • Observational design, including cross-sectional studies, cohort studies, case control studies
      • Experimental studies (randomized controlled trials)
      • Sources of information for epidemiological studies
      • Issues of precision
      • Issues of validity, including bias and confounding
      • Applications of epidemiology in different areas, including clinical epidemiology


Organizer: Kirsten Fonager, Ph.D, professor, Henrik Bøggild, Ph.D, associate professor
Lecturers:  Kirsten Fonager, Ph.D, professor, Henrik Bøggild, Ph.D, associate professor and others
ECTS: 3,2
Time: October 19-20 and 26-27
Place: Forskningens Hus, Sdr. Skovvej 15, Room 405
Zip code: 9000
City:
Aalborg
Deadline: September 28

Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Description:

This course will provide the participants with hands-on experience in creating and handling data from questionnaires, patientforms, registers and other sources, and to document the data management and analyses in accordance with the Code of Conduct/UVVU recommendations.

The course provides an overview of the audit trail and hands on experience using programs like EpiData Manager/Entry Client, RedCAP or Survey-Exact to create and input datasets ready for statistical analyses with the accompanying documentation including labelling, double entry, error corrections and data modification.

Regardless of the software used for statistical analyses (for instance SPSS, STATA, SAS or R) participants will learn how to work with and document the analyses in command files. Participants will be expected to work on data documentation of own or provided data between the two lessons.

The possibilities to deposit datasets with personal identification in DDA and the conditions for this will be covered.

Before the course a questionnaire about the use of and experience with various statistical software will be distributed. 

Literature Selected papers and book chapters.

Evaluation Active participation and created data documentation.

Organizer: Associate Professor Henrik Bøggild, e-mail: boggild@hst.aau.dk

Lecturers: Associate Professor Henrik Bøggild, Public Health and Epidemiology Group, Health Science and Technology, Aalborg University


ECTS: 1,5
Time: 2 and 9 October 2020
Place: Forskningens Hus, Sdr. Skovvej 15, Room 405
Zip code:
9000
City:
Aalborg
Deadline: September 11

Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

  • Description:

    The course will cover the basic concepts of survival analysis. This includes the topics:

    •                          Incidence and risk
    •                          Censoring
    •                          Epidemiological context of analysis of waiting times
    •                          Kaplan-Meier curves
    •                          Comparison of survival between two groups
    •                          Regression models for rates
    •                          Hazard function and cumulative hazard function (Nelson-Aalen)
    •                          Proportional hazards model (Cox regression)
    •                          Model diagnostics
    •                          Delayed entry and choice of time scales
    •                          Competing risks
    •                          More advanced regression modeling (adjustment, splines, trend, effect modification, etc.)

The participants are expected to be familiar with basic aspects of the statistical software package STATA or similar. In the course, we will show examples in Stata with a specific focus on interpretation and reporting of results.

During the course, a number of practical exercises will be given that the students are expected to work on between course sessions. The choice of statistical software for the exercise is free and we will organize question time between course sessions.

  • Organizer: Søren Lundbye-Christensen, solc@rn.dk

  • Lecturers: (Tentative) Søren Lundbye-Christensen, Martin Nygård Johansen, Henrik Bøggild, Lasse Hjort Jakobsen, Jan Brink Valentin

  • ECTS: 3.2

  • Time: Fall 2020 (Nov/Dec)

  • Place: Forskningens Hus, Sdr. Skovvej 15

  • Zip code: 9000

  • City: Aalborg

  • Number of seats: 30

  • Deadline:

Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

  • Description:

    Essentially all statistical problems can be formulated as regression problems: the problem of quantifying the relationship between a dependent variable and one or more independent variables. Surprisingly many statistical problems encountered in clinical practice can be succesfully handled with a small set of "core regression techniques", alongside an understanding of the rationale and limitations of statistical regression in general. The present course is a case-based introduction to these core regression techniques, with an emphasis on common features rather than differences.
    Upon completion of the course, the student will be able to perform basic regression analyses in a suitable statistical software program. The student will also obtain a broad foundation for learning and applying other and more advanced regression techniques.


    Topics covered will include the following:

    • From research question to regression analysis
    • Simple linear regression
    • The t-test
    • Multivariable regression (adjustment)
    • Analysis of variance
    • Regression in small samples 

     

    Software

    The course includes computer practical exercises. Examples will be provided in Stata syntax but other relevant software packages can be used for exercises.

     

    Evaluation

    Evaluation of the course will be based on active participation in the course including a practical exercise which is to be handed in after the course.



  • Organizer: Søren Lundbye-Christensen, solc@rn.dk 

  • Lecturers: Søren Lundbye-Christensen, PhD, Senior Biostatistician, Martin Berg Johansen, MSc,       Biostatistician

  • ECTS: 2,4

  • Time: 27 April, 30 April, 4 May, 2020

  • Place: Forskningens Hus, Sdr. Skovvej 15
    27 April: Room 106
    30 April: Auditorium B
    4 May: Room 405

  • Zip code: 9000

  • City: Aalborg

  • Number of seats:

  • Deadline: 6 April

    Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Welcome to Introduction to Statistical Programming


Description:

The objective of this course is to give the participants a case based introduction to an important tool in biomedical research – statistical software, Stata. Based on real data from medical research projects the intent is to give the participants an insight into the process of transforming raw data into output that is suitable for a publication. During the course the participants will be introduced to the following possibilities in Stata:

  1. How to load data.

  2. How to prepare data for analysis.

  3. How to run analysis.

  4. How to manage output.

  5. How to present results.

  6. How to learn more.


The course will consist of both plenum presentations and hands-on exercises.

Prerequisites

It is recommended to bring a laptop with Stata installed – preferably the latest version.



Organizer: Søren Lundbye-Christensen, solc@rn.dk 

Lecturers: Niels Henrik Bruun, nbru@rn.dk

ECTS:
0,8
Time: 30 September 2020
Place: Room 106, Forskningens Hus, Sdr. Skovvej 15
Zip code: 9000
City:
Aalborg

Number of seats: 28

Deadline: 9 September 2020

Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Welcome to The Manuscript

Organizer:          Consultant Helle D. Zacho, e-mail: hzacho@dcm.aau.dk

Lecturers:           Professor Lars J. Petersen & Consultant Helle D. Zacho, Department of Nuclear Medicine, Aalborg University Hospital.

ECTS:                     0.8 ECTS (subject to changes)

Dates:                October 30

Place:                 Room 106, Forskningens Hus, Klinisk Institut, Sdr Skov Vej, 9000 Aalborg.

Deadline:        October 9

Description

The manuscript phase of research is feared by many. How do I get started with the writing process – and how do I reach the end? I have so many data, how should I organize my work? The course introduces the manuscript phase from above (how to get organized, things to consider before you start writing, how to outline a readable papers, as well as practical issues with each section of the IMRAD structure). The course covers topics such as: To which journal should I submit my manuscript – who are the target readers? How do I write a good Introduction, how do I describe how we did the experiments, how shall I present my data, and how do I write an excellent Discussion? The course will also cover the process of preparing your manuscript for submission (instructions to authors), the submission phase, how to handle editorial decisions and revisions, proof-reading, and the final issues with publishing. 

Literature
Class material will be uploaded, but a must for the course and many years beyond is:  Hall GM (ed). How to write a paper. BMJ Books, Wiley-Blackwell, 5th edition, 2013 (150 pages, 265 DKK).

Prerequisites
Basic knowledge of medical science and the IMRAD way of outlining scientific manuscripts. The value of the course is optimal if the participant has prior experience with medical writing and/or works with a current manuscript.

Evaluation
Exam and oral/written evaluation.


Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Description: While most medical studies aim to explain some phenomenon, a significant proportion does not have this as a primary goal. These studies instead aim to predict a certain event or measure as accurately as possible given a number of predictors. Although explaining and predicting are two separate goals, they are often interchanged in medical studies. More importantly, the statistical approaches used for these two types of data analyses are not the same. The course covers the following topics:

  1. The basic differences between explanatory and predictive studies.
  2. Model estimation: variable selection, variable predictive power and penalisation
  3. Model Performance: N-fold cross validation, geographical and temporal validation, external validation.
  4. Model validity: Calibration and calibration slope, receiver operating characteristic (ROC) curve incl. area under the curve (AUC), coefficient of determination and prediction intervals
  5. Examples from the scientific literature

Upon completion of the course, the student will be able to distinguish between predictive and explanatory data analyses, as well as understand the basic statistical tools used in predictive studies.

Literature:

Moons K, Royston P, Vergouwe Y, Grobbee D, Altman D. Prognosis and prognostic research: what, why and how? BMJ2008;b375.

Ewout W. Steyerberg, Yvonne Vergouwe; Towards better clinical prediction models: seven steps for development and an ABCD for validation, European Heart Journal, Volume 35, Issue 29, 1 August 2014, Pages 1925–1931, https://doi.org/10.1093/eurheartj/ehu207

Prerequisites: Basic Statistics and basic programming abilities with Stata or R, all participants must bring a laptop with either Stata or R installed

Evaluation: Assignment with oral presentation in groups of 3-4 participants

Organizer: Lasse Hjort Jakobsen (lasse.j@rn.dk), Jan Brink Valentin (jvalentin@dcm.aau.dk), Simon Grøntved (sigro@rn.dk)

Lecturers: Lasse Hjort Jakobsen, Jan Brink Valentin, Simon Grøntved

ECTS: 3.5

Time: 8.-9. and 15.-16. June 2020 from 08.30 to 16.00

Place: Forskningens Hus, Sdr. Skovvej 15, 900 Aalborg, Room 405

Zip code: 9000

City:
Aalborg

Number of seats: 24

Deadline: 8 June

Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Organizer: Jan Brink Valentin, Senior Statistician, jvalentin@dcm.aau.dk

Lecturers: Jan Brink Valentin

ECTS: 2.5

Time: 9th, 10th and 14th of September 2020 from 08.30 to 16.00

Place: Department of Clinical Medicine, Søndre Skovvej 15, Auditorium B

Zip code: 9000

City:
Aalborg

Number of seats: 40

Deadline: 19th august 2020

Description: Randomized block design is a state-of-the-art method for minimizing random error and, thus, sample size in clinical trials. However, to fully benefit from such designs requires multilevel statistical modelling. In addition, multilevel approaches are also valuable tools for relaxing the independence assumption within certain data clusters. Such clusters could be hospitals or simply reoccurring subjects or both. In the course, you will learn different approached for relaxing the independence assumption, how to handle nested and crossed effects, how to interpret the models and how multilevel designs can be applied in prediction studies. The course covers the following topics:

  • What is multilevel regression and when to use it?
  • Multilevel designs incl. nested and crossed designs
  • Cluster-robust variance estimators
  • Random effects
  • Mixed effects and crossed random effects regression
  • Multilevel linear, Poisson, logistic, Cox and quantile regression
  • Prediction with multilevel regression models
  • Randomized block designs; sample size estimation, execution and analysis.

Literature: Course material will be send out during the course

Prerequisites: Basic Statistics and basic programming abilities with Stata or R, all participants must bring a laptop with either Stata or R installed

Evaluation: Assignment with oral presentation in groups of 3-4 participants

Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Welcome to RNA Medicine – From Bench to Bedside


Organizer: Sakari Kauppinen, Professor and Director, Center for RNA Medicine, Dept of Clinical Medicine, e-mail: ska@dcm.aau.dk, website: www.rna-medicine.dk

Lecturers: 

Sakari Kauppinen, Professor and Director, Center for RNA Medicine
Mogens Vyberg, Professor of Clinical Pathology, Center for RNA Medicine
Marianne Løvendorf, Senior Postdoc, Center for RNA Medicine
Anja Holm, Senior Postdoc, Center for RNA Medicine
Kasper Thystrup, PhD Student, Center for RNA Medicine

ECTS: 5 ECTS points
Time: November 2-6, 2020
Place: Center for RNA Medicine, Dept of Clinical Medicine, Frederikskaj 10B, AAU Campus Copenhagen
Zip code: DK-2450 Cph SV
City:
Copenhagen

Number of seats: 16

Deadline: October 1, 2020

Description: One of modern biology’s biggest surprises was the finding that the human genome contains only about 21.000 protein-coding genes, comprising less than 2% of the genome sequence. However, recent data imply that the human genome is pervasively transcribed and encodes tens of thousands of non-protein coding RNAs (ncRNAs) that play critical regulatory roles in numerous biological processes. An improved understanding of basic RNA biology and the complexity of the human transcriptome has triggered a corresponding revolution in development of RNA-based therapies, which hold promise for the treatment of a wide range of life-threatening diseases. This is highlighted by the recent FDA approvals of three RNA medicines: (i) the antisense oligonucleotide (ASO)-based drugs eteplirsen for treatment of Duchenne muscular dystrophy and (ii) nusinersen for treatment of the neurodegenerative disease spinal muscular atrophy, respectively, and (iii) the siRNA drug patisiran for the treatment of hereditary transthyretin amyloidosis with polyneuropathy. Notably, RNA drugs can be designed to target essentially any RNA transcript encoded by the genome and can thus target a large part of the currently undruggable genome.

This PhD course will provide the participants with an overview of ncRNA biology and development of RNA-targeted therapeutics, and consists of a series of research seminars and laboratory exercises. The seminars will cover key topics in the rapidly expanding field of RNA research from ncRNA biology, high-throughput RNA sequencing (RNAseq) methods and computational analysis of RNAseq data to the emerging roles of ncRNAs in human disease and development of RNA-based medicines. Each seminar will be followed by a scientific discussion of the participating PhD students with the lecturer. As preparation, two scientific papers selected by the lecturer have to be read prior to the PhD course. The laboratory exercises are designed to provide hands-on experience with key methods and tools used in ncRNA research and discovery of RNA-targeted therapeutics.

Literature:

  1. Khvorova A & Watts JK. The chemical evolution of oligonucleotide therapies of clinical utility. Nat. Biotechnol. 35: 238–248 (2017).
  2. Lim KR, Maruyama R & Yokota T. Eteplirsen in the treatment of Duchenne muscular dystrophy.

Drug Des Devel Ther. 11: 533-545 (2017).

  1. Corey, DR. 2017. Nusinersen, an antisense oligonucleotide drug for spinal muscular atrophy. Nat Neurosci. 20: 497–499 (2017).
  2. Setten RL, Rossi JJ & Han SP. The current state and future directions of RNAi-based therapeutics. Nat Rev Drug Discov. 18: 421-446 (2019).

Prerequisites: PhD students in biomedical research or molecular biology with an interest in ncRNA biology in human health and disease and discovery and development of RNA-targeted therapeutics should apply.

Evaluation: Participants who have engaged actively in all parts of the course and completed all lab exercises satisfactorily will be awarded a certificate of completion at the end of the PhD course. The workload corresponds to 5 ECTS points, and includes one week of preparation prior to the course (2 articles for each lecture that should be read in advance).

Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Welcome to Personalized Medicine in cancer research – from bedside to basic science
to bedside 

This PhD course is offered by the Doctoral School of Clinical Science and Biomedicine, Aalborg University and Clinical Cancer Research Center, Aalborg University Hospital.

Description:

This PhD course is aimed at PhD students working within the field of translational and clinical cancer research. The course will touch on several topics related to translational cancer research, including basic science methodologies, statistics and bioinformatics, and the keypoints in clinical trials. The basic science lectures touch upon molecular pathology, tumour heterogeneity, molecular biology as well as the currently used methods to elucidate these topics. The bioinformatic lectures will focus on workflows for personalized medicine, challenges in database structures, interpretation of sequencing data, and clinical implications. The clinical lectures will discuss current clinical questions from bedside - basic science - bedside, clinical evidence for PM, drug development and legal aspects.

Literature: Relevant book chapters and scientific articles will be advised.

Prerequisites: The PhD students will be involved in a presentation of their own scientific projects (gunshot model). It is expected that all PhD students have read the scientific papers that will be circulated 4 weeks before the course.

Evaluation: Participants are expected to attend all lectures as well as to present their own projects and actively take part in scientific discussions.

Organizers: Ole Thorlacius-Ussing, Professor, MD, DMSc, otu@rn.dk, Department of Surgery; Ursula Falkmer, Professor, MD, PhD, u.falkmer@rn.dk, Department of Oncology

Lecturers: Ole Thorlacius-Ussing, Morten Ladekarl, Lars Jelstrup, Oluf Røe, Michael Bjørn Petersen, Ursula Falkmer, Alkwin Wanders, Lykke Grubach, Martin Bøgsted, Mads Sønderkær, Rasmus F. Brøndum, Karen Dybkær, Marianne Tang Severinsen, Anne S. Roug, Britt E. Laursen, Inge Søkilde, Henrik Krarup, Tarec C. El-Galaly, Mia Sommer

ECTS: Estimated 3.0

Time: 21-23 October 2020

Place: To be decided

Zip code: 9990

City: Skagen

Number of seats: 15

Deadline: 15 August 2020

Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.