PhD Courses in Denmark

The aim of the course is to gain skills in Rhetoric of Science and reflection in order to improve academic and research presentations. 

The aim of the course is to o avoid misuse and misinterpretations of statistical significance testing.

The aim of this PhD course is to familiarise students with the principles, pipelines, and coding involved in the analysis of single cell/spatial RNAseq data. These skills can be applied to the study of transcriptomics at single-cell and spatially resolved

The course aims to provide a comprehensive overview of the methodologies used across the cardiovascular research disciplines. The course will teach critical aspects of designing, conducting, and interpreting cardiovascular research within basic, epidemiol

This is a blended learning course in university teaching and learning that lays the foundation for reflective teachers at the PhD-level. It introduces the following topics: Constructive alignment, Student-centered teaching, Learning outcomes, Feedback, Re

This course is relevant for all PhD students who wish to improve their teaching in the short or long-term with a view to student learning and the joys and benefits of being a reflective teacher. It is highly recommended, but not strictly required, that th

This course enables a qualified debate about the relevance and applicability of current knowledge on stress and resilience to advance mental health and clinical practice. 

To create a framework for integrating the IPTO and project management tools into the interaction between supervisors and Ph.D. students.  The content includes time to work together with your advisor, integrating planning for key decision points related to

The aim of this course is to introduce and discuss basic philosophy of science. Hence, the course introduces and discuss’ the concepts of ontology, epistemology, and methodology in order to answer the questions of what research is and what counts as resea

The course aims to provide participants with an introduction to the use of directed acyclic graphs (DAGs) as a tool to control for confounding and other sources of bias. Moreover, the course will include a simple method to reason about the directions of p