Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- University of Amsterdam (UvA)
- Leiden University
- Eindhoven University of Technology (TU/e)
- Utrecht University
- European Space Agency
- Amsterdam UMC
- Tilburg University
- AMOLF
- DIFFER
- Erasmus University Rotterdam
- KNAW
- Nature Careers
- Radboud University Medical Center (Radboudumc)
- University of Twente
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- 7 more »
- « less
-
Field
-
research project “Is the brain network involved in sentence comprehension replicable and robust?”, led by Dr. Jurriaan Witteman. The project will investigate the neural mechanisms underlying sentence-level
-
now Are you fascinated by gene regulatory networks and want to dissect how plants express the right genes at the right time and place? Do you want to be part of a European team working to resolve
-
advances in our group, including new methods for detecting learning signals in linear networks that reveal aspects of the tasks they have learned, provide a powerful conceptual starting point. The scope
-
interaction with neuronal networks underlying memory storage and retrieval. For this, you will execute stereotactic surgeries to deliver viral vectors to specific brain regions implicated in memory. Furthermore
-
Information Benefits A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking
-
. This position requires a Certificate of Conduct (VOG). We are recruiting for this position ourselves. Unsolicited marketing is not appreciated, but do feel free to share the vacancy in your network! Want
-
Bilevel programming (BP) is a powerful mathematical framework for modeling hierarchical decision-making processes involving two players: a leader and a follower. In energy network design, for example
-
. The main research themes are Artificial Intelligence, Computational Science, and Systems and Network Engineering. Our research involves complex information systems at large, with a focus on collaborative
-
, or materials informatics. Familiarity with explainable AI or counterfactual explanation methods. Experience with molecular dynamics data, graph neural networks, or multi-component system modelling. Track record
-
development of simplified continuum-based models, enabling fast assessments across large quay wall networks. This position is part of the Bridge and Quay Walls (Bruggen en Kademuren) programme of