Sort by
Refine Your Search
-
Employer
- Delft University of Technology (TU Delft)
- Utrecht University
- University of Amsterdam (UvA)
- University of Groningen
- Leiden University
- Eindhoven University of Technology (TU/e)
- Vrije Universiteit Amsterdam (VU)
- Radboud University
- University of Twente (UT)
- Wageningen University & Research
- European Space Agency
- Maastricht University (UM)
- Radboud University Medical Center (Radboudumc)
- University of Twente
- University of Utrecht
- Erasmus University Rotterdam
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Universiteit Leiden
- 8 more »
- « less
-
Field
-
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Hey machine learning enthusiast with a love for physics and
-
this by conducting groundbreaking research, providing high-quality education, offering excellent support, and fostering collaborations within and outside the university. In doing so, we contribute
-
our ultramicroscopy hall, and experimental groups are (at no charge) supported by excellent mechanical and electronic workshops. We foster an international and collaborative atmosphere and have close
-
the different nucleation pathways for ice formation. You will collaborate with other researchers inside and outside our research group to stength the research outcome. Job requirements A PHD degree in a relevant
-
Hey machine learning enthusiast with a love for physics and complex systems, will you help us develop a new generation of road traffic prediction methods? Job description Road traffic is a highly
-
those currently used, a collaboration with other researchers in the consortium is expected to explore complementarities between different sensing approaches. In addition to scientific work, this project
-
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Over 80 multidisciplinary scientists from six Dutch Universities collaborate
-
for representing, compressing, and computing with complex physical systems. The project is carried out in close collaboration with researchers in Electrical Engineering working on emerging memory architectures and
-
in close collaboration with Sjoerd Dirksen , Johannes Maly , and a PhD student that will start at the Ludwig-Maximilians-Universität (LMU) in Munich, Germany. During the project, you will spend two
-
-quality datasets that are structured and annotated for simulation and machine learning. Develop Digital Twins and simulation pipelines for virtual validation and predictive performance assessment. Implement