Young researchers actively explore their career options, learn career development methods, build a network, and improve their networking strategies.
This is made possible through: specific trainings, workshops & lectures. We offer everyone a framework for a fruitful mentoring partnership.

Networks are everywhere. Examples include the internet on which you are reading this text, the power grid that delivers electricity to your home, the food webs which form the backbones of ecosystems, the social networks which allows opinions, ideas and diseases to spread among humans and the networks of biochemical reactions that sustain all life on earth.
In this course we will understand how network thinking can be used to make sense of the many complex processes around us. Along the way we will be drawing on ideas from Physics, Mathematics, Computer Science, Ecology and Sociology.

by TRESS ACADEMIC
On May 30, 2022 TRESS Academy starts its next Paper Writing Academy, the online programme that supports researchers to write and publish a paper for a peer-reviewed journal.

This course is open for all doctoral candidates enrolled in the Graduate School Science, Medicine and Technology – OLTECH and an additional offer within the OLTECH mentoring program.

​​​​​​​Main topics:
How to address / handle different kind of conflicts.
What it means to be in a leadership role
How to give and receive feedback
How to prepare for a job interview
How to handle typical job interview questions

This will be a hands-on, practical course intended to give students an overview and introduction to R applied to analysing environmental data, with specific emphasis on chemical datasets. We will briefly present an overview at the beginning of every course and then have the students do activities. We will begin with a brief introduction to the R environment and basic function and then include an overview of statistical analyses that are valuable in environmental datasets. Our end goal is that students will be able to work with R efficiently and know how to approach their scientific questions and advance their science with R.