Sort by
Refine Your Search
-
Listed
-
Employer
- European Space Agency
- University of Groningen
- Utrecht University
- Delft University of Technology (TU Delft)
- University of Twente
- Delft University of Technology (TU Delft); Delft
- University of Twente (UT)
- Wageningen University and Research Center
- CWI
- Radboud University
- Erasmus University Rotterdam
- Leiden University
- University of Twente (UT); Enschede
- Wageningen University & Research
- Eindhoven University of Technology (TU/e)
- Maastricht University (UM)
- Maastricht University (UM); Maastricht
- NIOZ Royal Netherlands Institute for Sea Research
- Radboud University Medical Center (Radboudumc)
- The Netherlands Cancer Institute
- The Netherlands Cancer Institute; Amsterdam
- Vrije Universiteit Amsterdam (VU); Amsterdam
- 12 more »
- « less
-
Field
-
-based knowledge with machine learning. You will work closely with the Utrecht University team and OpenGeoHub together with other project partners, to develop and implement surrogate and hybrid modelling
-
: 12 September 2025 Apply now Are you a data scientist interested in designing and implementing process-informed machine learning and uncertainties quantification methods? Join us as a postdoc and work
-
on public transport we also make it attractive for you to leave the car at home; A great opportunity in a specialised hospital where you can also continue to learn and grow yourself if you wish: the AVL
-
cutting-edge multimodal deep learning models that integrate imaging and clinical data to personalize treatment and follow-up strategies. In the Netherlands, around 75% of patients with an abdominal aortic
-
fair consideration. Challenge. Change. Impact! Faculty Mechanical Engineering From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our
-
-based knowledge with machine learning. You will work closely with the Utrecht University team and OpenGeoHub together with other project partners, to develop and implement surrogate and hybrid modelling
-
: 12 September 2025 Apply now Are you a data scientist interested in designing and implementing process-informed machine learning and uncertainties quantification methods? Join us as a postdoc and work
-
global scale. That is why we invite you to apply. Your application will receive fair consideration. Challenge. Change. Impact! Faculty Mechanical Engineering From chip to ship. From machine to human being
-
difficult and the creation of more intelligent process control strategies and innovative methods of tracking reliability can be achieved with expert informed machine learning techniques, which offer more
-
difficult and the creation of more intelligent process control strategies and innovative methods of tracking reliability can be achieved with expert informed machine learning techniques, which offer more