Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Delft University of Technology (TU Delft)
- Amsterdam UMC
- European Space Agency
- Leiden University
- University of Twente (UT)
- Eindhoven University of Technology (TU/e)
- Maastricht University (UM)
- Radboud University
- University of Amsterdam (UvA)
- University of Groningen
- Wageningen University & Research
- Radboud University Medical Center (Radboudumc)
- University of Twente
- AMOLF
- ARCNL
- Centrum Wiskunde en Informatica (CWI)
- Erasmus University Rotterdam
- Naturalis
- Tilburg University
- Vrije Universiteit Amsterdam
- Vrije Universiteit Amsterdam (VU)
- 11 more »
- « less
-
Field
-
between genetic risk factors and neurodevelopment. This interdisciplinary, NWO-funded project brings together large-scale datasets and advanced analytical methods, including machine learning, genomics
-
is part of ORCRIST: Optimized Ray-tracing for Cloud-Radiation Interaction Simulations in 3D using GPUs and Machine Learning, funded by the NWO Open Technology Programme. Sunlight and heat radiation
-
close to completion of a PhD in a relevant field such as data science, AI, computer science, remote sensing, machine learning, electronics, embedded systems, aerospace engineering, Earth system
-
Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | 21 days ago
pursuit of living sensing and memory systems. This effort is truly trans-disciplinary, drawing on biodesign/biotechnology, machine learning, and interaction design. This project builds on groundwork
-
Radboud University Medical Center (Radboudumc) | Nijmegen, Provincie Gelderland | Netherlands | 21 days ago
aptitude for quantitative and technical methods. Experience & competencies Experience with Python and machine learning, preferably applied to medical imaging or computer vision. A critical
-
multilevel modelling or machine learning on intensive longitudinal data Affinity with user research (interviews, co-design) and experience with app-based data collection are an advantage Affinity with, and
-
machine learning methods for signal processing, image analysis, data fusion, and prediction; build physics-informed and hybrid AI models that combine geophysical knowledge with data-driven approaches
-
is its data-driven approach. Together with colleagues at Saxion University of Applied Sciences, you will contribute to the development of machine-learning models that connect powder characteristics
-
Eindhoven University of Technology (TU/e) | Eindhoven, Provincie Noord-Brabant | Netherlands | 24 days ago
, highly scalable AI systems as part of a team. Experience with machine learning, MLOps, foundation models, or LLMs is a strong plus. Impact This is your chance to make a real-world impact by advancing
-
Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | 26 days ago
experimentally. Machine learning potentials can overcome typical bottlenecks of empirical potentials for simulating dislocations, cracks and hydrogen diffusion near precipitates embedded in ferritic