Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Delft University of Technology (TU Delft)
- European Space Agency
- University of Amsterdam (UvA)
- Eindhoven University of Technology (TU/e)
- Maastricht University (UM)
- Utrecht University
- Erasmus University Rotterdam
- KNAW
- Leiden University
- Radboud University Medical Center (Radboudumc)
- Tilburg University
- University College Roosevelt
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- Amsterdam UMC
- NIOZ Royal Netherlands Institute for Sea Research
- Radboud University
- Sanquin Blood Supply Foundation (Sanquin)
- Stichting Climate Litigation Network
- University Medical Center Groningen
- University of Groningen
- 11 more »
- « less
-
Field
-
theoretical advances into practical insight and tools that can support analysis, design and decision-making for AI-enabled space systems, thereby bridging the emerging scientific theory of deep learning with
-
or Associate Professor who is excited to advance the field of Computer Vision and Deep Learning through excellent research, inspiring education, and meaningful collaboration. The Computer Vision Lab conducts
-
Are you passionate about combining the directed evolution of diverse biomolecules with deep learning approaches and contributing to the development of better (bio)catalysts and drugs? We
-
on AI-assisted reverse engineering of integrated circuits for hardware assurance and intelligence analysis. The project is conducted within the Deep Learning for Perception and Data Science, Safety and
-
, you will: Acquire and analyse human neuroimaging data, with a primary focus on high-field fMRI of natural sound perception. Develop and apply AI/NeuroAI models, including deep neural networks, to model
-
for accountability, transparency, inclusiveness, and misinformation. The key technology is multimodal deep learning, and its extensions for these additional targets. In particular, we have a large collection of
-
. Knowledge of machine learning and deep learning for image and time series analysis; experience with cloud or high performance computing environments is an asset. Ability to communicate results clearly in
-
(preferably in Python, including deep learning frameworks such as PyTorch); affinity with medical image analysis and computational modeling; experience with neural networks for image analysis, generative
-
software, mechanics, and automation? Would you like to help build a deep-tech startup—not only by developing technology, but by turning it into products for real customers? The Institute of Physics (IoP) is
-
scientific initiative focused on AI-assisted reverse engineering of integrated circuits for hardware assurance and intelligence analysis. The project is conducted within the Deep Learning for Perception and