Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
universities and networks worldwide to become a truly global center of knowledge. Project aim This project is part of a ZonMw-funded collaboration between the Melgert and Prekovic labs and aims to uncover how
-
We are looking for two PhD candidates for a project within the Doctoral Network “MonaLisa”, a consortium of 20 partners composed of high-profile universities, research institutions and companies
-
in collaboration with diverse partners and stakeholders, contributing not only to academic output but also to visible societal change. The PhD project is part of the “Wad Gaat Om” program, which aims
-
assisting in courses. Requirements Desired profile A master degree in computer science, artificial intelligence, or (very) similar. Self-drive, creativity, rigor, sense of ownership, and excitement to push
-
-quality teaching and research. Belonging to the best research universities of Europe and joining forces with prestigious partner universities and networks, the University of Groningen is truly
-
network; proactively look for new opportunities in e.g. PPS- and EU-calls and write proposals in the field of (phyco)toxins. Your team The team in which the position is vacant, conducts research on plant
-
An internship at CWI offers you the unique opportunity to work with leading researchers on the frontier of mathematics and computer science. CWI prides itself on having a stimulating and
-
- Wageningen University & Research ) and Dr. Karen Kloth ( Karen Kloth - Wageningen University & Research ). Your project is part of the MiCRop Consortium programme on microbial imprinting of crop resilience
-
to the world around us. Make the most of our bicycle budget, or join networks such as Young@EUR Opens external , FAME or QuEUR. - Time and space for your development in the broadest sense
-
://research.wur.nl/en/persons/rieta-gols ) and Dr. Karen Kloth (https://research.wur.nl/en/persons/karen-kloth). Your project is embedded in the MiCRop Consortium programme on microbial imprinting of crop resilience