Sort by
Refine Your Search
-
Listed
-
Employer
- Utrecht University
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Leiden University
- University of Amsterdam (UvA)
- Wageningen University & Research
- Erasmus University Rotterdam
- European Space Agency
- University of Twente
- Radboud University
- University of Twente (UT)
- AMOLF
- ARCNL
- Maastricht University (UM)
- NIOZ Royal Netherlands Institute for Sea Research
- Vrije Universiteit Amsterdam (VU)
- 6 more »
- « less
-
Field
-
that focus on the material and intangible remains of the past, the reciprocal relations between objects, meanings and representations, and the dynamics of memory. AHM’s research is carried out from diverse
-
7 Mar 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science » Informatics Computer science » Programming Engineering » Materials
-
. THE DEPARTMENT The department of Estuarine and Delta Systems (EDS) of NIOZ is based in Yerseke. We study how the interplay between biota, hydrodynamics, sediment dynamics and biochemistry shapes the estuarine
-
5 Apr 2026 Job Information Organisation/Company Wageningen University & Research Research Field Biological sciences » Laboratory animal science Researcher Profile Recognised Researcher (R2
-
3 Apr 2026 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Environmental science » Global change Environmental science » Natural resources management Political
-
teaching. At Utrecht University , the various disciplines collaborate intensively towards major strategic themes . Our focus is on Dynamics of Youth, Institutions for Open Societies, Life Sciences and
-
2 Apr 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Philosophy » Ethics Researcher Profile Recognised Researcher (R2) Application Deadline 10 May
-
, 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
-
interest in learning, adaptation, and dynamical systems in physical contexts Experience with analytical and\or computational modeling. Proficiency in numerical methods and coding (Python, JAX, MATLAB
-
communication skills. You will be joining a dynamic department with broad interests in biotechnology and synthetic biology across all domains of life. The research is funded as part of the NWO Open Technology