PhD Courses in Denmark

The focus is on producing clear and concise text with an easily understandable message.

To learn how to put together a brief but effective abstract. In this course you learn to understand the rules of abstract writing and get to practice this skill in various ways. At the end of the course you should be able to write your own abstract but al

There are two major methods of writing an article: i) just write it, or ii) structure it first. Most people probably use a mixture of these two. We will show you how to keep the writing for later and concentrate totally on the structure. The course is des

Students are encouraged to work on their own projectdata and share questions, troubleshooting and solving of problems in the classroom with peers, to increase the learning experience.

The course aims for the student to gain theoretical and practical knowledge on how to analyse data from qualitative interviews and other types of unstructured, qualitative data. We wish to provide the student with knowledge and abilities to manage the dif

This course in compulsory for investigators, students and other persons involved in animal experiments. The course complies to legal requirements for qualification of persons working with laboratory animals, according Danish law and European regulations.

If you have not participated in a recognized Danish experimental animal course, and are planning to be responsible for or participate in animal experiments your qualification needs to be approved by the Danish Veterinary and Food Administration. This requ

If you have not participated in a recognized Danish experimental animal course, and are planning to be responsible for or participate in animal experiments your qualification needs to be approved by the Danish Veterinary and Food Administration. This requ

The course will cover advanced methods and techniques aimed at reducing bias and exploring causal relationships in modern epidemiology. It will introduce the concept of the counterfactual approach for interpreting causality. Students will be taught techni

The participants will through creating a data management plan be introduced to central elements of data management in research projects, workflows, relevant legislation, principles and standards for data documentation and data control, preparing quantitat