PhD Courses in Denmark

This course gives an introduction to survival analysis for clinical and observational studies. The students will be able to apply modern survival analysis ranging from design of study to selection and interpretation of publishable results. The students le

The course is designed to equip those having only limited or no prior experience of flow cytometry with a basic grounding in the principles of the technique and working knowledge of its practice with special emphasis on the application of flow cytometry t

The course is designed to equip those having only limited or no prior experience of flow cytometry with a basic grounding in the principles of the technique and working knowledge of its practice with special emphasis on the application of flow cytometry t

The aim of the course is to provide an overview and a basic understanding of economic evaluation in health care, to enable participants to perform economic evaluations themselves, and to critically assess the quality of economic evaluations of health care

The course aims at providing the background, implementation, and interpretation of quantitative bias analyses concerning epidemiological studies.

This 3-day course aims at introducing to biomedical researchers a foundational understanding of genomics, epigenomics and transcriptomics, laboratory techniques, and motivating practical applications in disease and health researches. 

This course will provide Ph.D. students with the necessary knowledge to navigate the challenging transition from project description/protocol to conducting qualitative research. Students will emerge with a deeper understanding of the theoretical, practica

This course provides insight into the basic molecular mechanisms of cancer development and progression through presentations by invited speakers and discussion of research papers. Subjects covered on the course include: DNA damage, cell death, kinase sign

The purpose of the course is to provide the participants knowledge and tools enabling them to (critically) explain and argue why and how to involve patients/users in research, to explain the pros and cons of various models of user involvement, to assess a

Over the last five to ten years machine learning (ML) methods has gained widespread use with both sports and health data. ML methods can be used with both accelerometry or heart rate data for health or sports purposes or for simple clinical studies to fin