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

2-6 & 23-27 September: Theoretical Ecology and Computer Simulation

This two week course is about mathematical modelling of ecological systems. The course is NOT about statistical modelling. The course requires basic knowledge in using R, a laptop to install specialized R-packages, a pen, paper, and an open mind towards mathematics.

23-24 September: Building R packages with Rstudio and GitHub

The course guides through the process of building and R package using the RStudio tool chain, starting from conceptualization until publication. We will provide example data and code, but encourage the students to bring their own data and code.

27 September: Supervision of Master Students

This course seeks to teach participants what they need to know in order to supervise master students in a structured and professional way, how to give feedback and how to evaluate and grade the master student thesis.

10 October: Critical Reasoning and Debating in Science
This course is aimed at doctoral and postdoctoral researchers who would like to improve their skills in oral arguing and debating. The focus of this seminar is not on rhetorics but on understanding the logic basics of reasoning and making valid conclusions and explanations.

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