Welcome to yDiv – the Graduate School of iDiv

yDiv is a graduate school for young biodiversity researchers from across the world. The interdisciplinary character of iDiv is a challenge that yDiv transfers into an opportunity for doctoral researchers by offering the chance for professional and personal development.

At yDiv, doctoral researchers can approach biodiversity science beyond their specialization. yDiv inspires them to use different approaches for their research (from theory and fundamental science to applied aspects of nature conservation and policy), different investigation objects (single organisms, manipulated communities, ecosystems) and different methodologies (modelling, field experiments, molecular ecology).

Learn how to join yDiv or read more about our programme in the PhD Guide (PDF).


Upcoming Events and Courses

17-21 February: Working at the biodiversity science-policy interface
This course is relevant to doctoral researchers working in the fields of biodiversity, environmental science and socio-political studies. The main aim of the course is to identify the relevance of (own) current research and pathways to increase impact, learn knowledge exchange facilitation techniques and interdisciplinary teamwork.

18-19 February: Git Basics - For Beginner-Level Git Users
This workshop is open for all iDiv employees, PhD students and Postdocs.
In a five-hour session, participants will get a hands-on introduction to Git – the distributed version control system. Participants will learn to keep track of the history of their projects and to collaborate on these projects. On the 2nd (optional) day, the course leaders will guide you towards successfully setting up your projects with git.

24-25 February: Thesis Defense Training
During the defense of their thesis, doctoral students have to give a presentation of 10 to 30 minutes which is followed by a discussion. This workshop is designed to prepare doctoral students optimally for this situation.

16 March: Seminar: R and teamwork for better science in less time
R has demonstrable potential to accelerate scientific research, since it not only provides powerful analytical tools that increase reproducibility but also creates a new frontier for communication when combined with the open web. The question this semianr seeks to answer is how do we harness this power as teams in science, within and beyond the research group?

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