Sort by
Refine Your Search
-
Listed
-
Employer
- Utrecht University
- University of Groningen
- Radboud University
- University of Twente (UT)
- CWI
- University of Twente
- Wageningen University and Research Center
- Eindhoven University of Technology (TU/e)
- Erasmus University Rotterdam
- European Space Agency
- Leiden University
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- Delft University of Technology (TU Delft)
- 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
- Wageningen University & Research
- 15 more »
- « less
-
Field
-
the outcomes of SCC surgery. Job Responsibilities: As a PhD candidate, you'll focus on: Develop cutting-edge AI models: Train state-of-the-art deep learning models to segment SCC and healthy tissues using both
-
expert collaborations. We have a wide range of deep learning-based projects ranging from fundamental AI research to translational evaluation of existing algorithms. Check our website for more information
-
multimodal deep learning models combining CT imaging and clinical data, trained on the unique RADAR consortium database . These models will be validated in close collaboration with clinical and industrial
-
on collaborations between academia and industry? Then this postdoc position may be the one for you! The Department of Computational Cognitive Science at Tilburg University is looking for a Postdoctoral
-
collaboration to advance climate adaptation and flood resilience in tidal estuaries. BONSAI is a project within the EU programme Interreg North-West Europe that aims to enhance flood resilience in tidal estuaries
-
of Science at UvA. What are you going to do? The aim of the project is to use advanced Machine Learning techniques to predict the anharmonic vibrational spectra of large Polycyclic Aromatic Hydrocarbon (PAH
-
of CMT peripheral neuropathy associated with mutations in tRNA synthetases, or ALS associated with FUS (fused in sarcoma) mutations. You will have the opportunity to collaborate with and supervise Master's
-
learning and data augmentation for soil and biomass carbon forecasts; developing a computational framework for data production in cooperation with Research Software Engineers; collaborating and coordinating
-
: 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
-
development in coordination with the interests of its scientists. As such, there are plenty of opportunities to learn new skills, expand your knowledge, collaborate across disciplines, and experiment in a