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Offers for the middle phase of the doctorate

Good Scientific Practice - in German: The process of scientific research is based on fundamental principles that are universal and the same in all disciplines. Perhaps the most important of these pillars is honesty - both towards oneself and towards others. But how can I implement these principles in my daily scientific work? And what pitfalls should I avoid?

How to give a talk: In this interactive workshop, participants practice presenting in a small group. In addition, this course offers the opportunity for interactive reflection and peer exchange. The language of instruction and presentation is English.

Preparing Funding Applications: This workshop supports participants in learning how to adequately prepare their own successful applications for scholarships, travel grants and research funding (both in Germany and beyond).

Research Integrity: The training aims to foster the internalization of the principles of European Code of Conduct for Research Integrity and strives to facilitate the cultivation of scientific virtues among researchers. The program consists of an introduction to the concepts of research integrity, moral conflicts and dilemmas, values and norms, and is enhanced by discussions and interactive exercises.

Research Integrity: Probands. In this workshop, participants will have a closer look on research with probands. What ethical issues arise when researchers work with humans? How can those issues be solved? So, the session aims to help participants dealing with probands in a responsible way. Besides some basic information on the topic, participants will mainly focus on cases. Participants are invited to bring their own cases which will be discussed confidentially using the method of collegial consultation.

Statistics with SPSS: Sooner or later, (almost) every doctoral thesis involves statistics. In the course, participants review the most important statistical basics as well as the execution and interpretation of the most important statistical tests in SPSS.