Sort by
Refine Your Search
-
Listed
-
Employer
- Utrecht University
- University of Groningen
- University of Twente
- Radboud University
- University of Twente (UT)
- CWI
- European Space Agency
- Wageningen University & Research
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Erasmus University Rotterdam
- Leiden University
- Max Planck Institute (MPI) for Psycholinguistics
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of Twente (UT); Enschede
- Wageningen University and Research Center
- Delft University of Technology (TU Delft); Delft
- Eindhoven University of Technology (TU/e); Eindhoven
- Leiden University; 's-Gravenhage
- Maastricht University (UM)
- Maastricht University (UM); Maastricht
- NIOZ Royal Netherlands Institute for Sea Research
- Radboud University Medical Center (Radboudumc)
- Radboud University; Nijmegen
- The Netherlands Cancer Institute
- The Netherlands Cancer Institute; Amsterdam
- Tilburg University
- Tilburg University; Tilburg
- Vrije Universiteit Amsterdam (VU); Amsterdam
- Wageningen University & Research; Wageningen
- 21 more »
- « less
-
Field
-
in combination with other machine learning techniques, to create predictive models. You will engage in an interactive feedback loop with domain experts to analyze discovered models and remove any
-
or geoinformatics) and the willingness to acquire the others during the first months of the project will suffice to be taken into consideration. Our offer We offer: a position for up to 34 months - the length
-
better world for people and planet. Together we create a safe and respectful working and study climate, and an inspiring environment for education and research. Learn more about our codes of conduct We
-
closely with experienced faculty members to develop and deliver courses at the BSc and MSc levels. RSM has a dedicated Learning Innovation Team (LIT), which supports faculty members in the improvement and
-
develop a simplified model focusing on the leader stage. You will: Analyze experimental data and microscopic simulations Identify relevant physical features and parameters Apply machine learning techniques