Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- University of Twente
- Eindhoven University of Technology (TU/e)
- University of Amsterdam (UvA)
- Wageningen University & Research
- Leiden University
- University of Twente (UT)
- Vrije Universiteit Amsterdam (VU)
- Erasmus MC (University Medical Center Rotterdam)
- HFML-FELIX
- KNAW
- NIOZ Royal Netherlands Institute for Sea Research
- Utrecht University
- 3 more »
- « less
-
Field
-
Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description Magnetic Resonance Imaging (MRI) is
-
discipline. Experience with deep learning framework PyTorch or similar. Strong background in machine learning, image or signal processing. Knowledge of SotA models for multi-modality and scene understanding
-
be the driving force behind the design, construction, and experimental validation of a next-generation magnetocaloric heat pump prototype, a technology poised to revolutionize the market and contribute
-
Curie PhD network centred on mechanobiology, i.e. the study of how physical forces and mechanical cues shape cell physiology. Evidence indicates that key mechanisms of neurodegeneration and cancer
-
investigate the key parameters influencing the growth process, with a primary focus on anisotropic matrix organization. While this project is entirely computational in nature, you will collaborate closely with
-
Mathematics (Inverse Problems), Computer Science (Machine Learning, Computer Vision, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of
-
staff position within a Research Infrastructure? No Offer Description Are you fascinated by the intersection of biology, physics, and computer science? Do you want to build "Digital Twins" that can save
-
force behind the design, construction, and experimental validation of a next-generation magnetocaloric heat pump prototype, a technology poised to revolutionize the market and contribute significantly
-
, actuation, and control. The research includes the design, fabrication, and experimental validation of micro-scale robotic platforms, integration of optical and imaging-based feedback, and development
-
for system and circuit simulation, apply modern analog/RF design methodologies, and participate in measurement and characterization of prototype chips. The project encourages creative thinking and