How to apply
Course application deadline
The deadline for applying for the course is the 15th of May, 2024.
How to apply
Please note that applying for the course does not guarantee you a place. Those from the target group have priority, and other eligible applicants will be given any empty seats. You will be notified shortly after the application deadline (or earlier) about whether your application has been accepted.
If you are in doubt whether this course is for you, it may help you to take a look at the FAQs and the course description.
To apply, you have to do two things:
1) Apply at the university platform via this site: phdcourses.ku.dk/DetailKursus.aspx?id=111844&sitepath=NAT
2) Send an email to [email protected] with the following information:
The deadline for applying for the course is the 15th of May, 2024.
How to apply
Please note that applying for the course does not guarantee you a place. Those from the target group have priority, and other eligible applicants will be given any empty seats. You will be notified shortly after the application deadline (or earlier) about whether your application has been accepted.
If you are in doubt whether this course is for you, it may help you to take a look at the FAQs and the course description.
To apply, you have to do two things:
1) Apply at the university platform via this site: phdcourses.ku.dk/DetailKursus.aspx?id=111844&sitepath=NAT
2) Send an email to [email protected] with the following information:
- Your academic level (for example PhD student, postdoc, Master student, etc.)
- The topic of your PhD (or other research if you are not a PhD student)
- Dietary preferences (for example ‘vegan’, ‘vegetarian’, ‘gluten-free’, etc.)
- Your experience with R/RStudio/programming (for example ‘I have no experience with any of this’, ‘I have run statistical tests in RStudio using code made by other people’, ‘I have made my own scripts in R but have not had a proper introduction to programming’ ‘I code in Python but have not used R’, or something else (you are welcome to provide more detail than in the examples)).
