Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- Utrecht University
- Eindhoven University of Technology (TU/e)
- KNAW
- Leiden University
- NIOZ Royal Netherlands Institute for Sea Research
- Wageningen University & Research
- Amsterdam UMC
- Maastricht University (UM)
- Radboud University Medical Center (Radboudumc)
- University Medical Center Utrecht (UMC Utrecht)
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Published yesterday
- University of Twente
- University of Twente (UT)
- 5 more »
- « less
-
Field
-
to explore related topics in Parameterized/Fine-grained complexity or Theoretical Computer Science at large. Your job In algorithm design, the paradigm of decomposition is omnipresent. In the 5-year ERC
-
the cortex would allow us to understand how the brain processes information within its local circuits, and to understand their role in neurological disorders such as dementia. This project is part of an ERC
-
parameters based on paired visible-light and X-ray images. The developed techniques will be validated on real data. As a candidate, you must have a strong background in machine learning and computer vision, as
-
project organisation skills. Your communication skills in English are excellent, both written and spoken. You have experience in: Image processing, medical imaging, and an interest in biomedical research
-
28 Feb 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Computer engineering Engineering » Simulation engineering Researcher Profile
-
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
-
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
-
relevant representations of the tumor microvasculature are created. These cm-sized chips are then used by the other researchers in the overall project for US imaging experiments. The models should fulfil
-
-scale processes like swelling and shrinkage generate microfractures and facilitate clay particle movement? Can we develop robust upscaling approaches from pore to field scale that enable reliable
-
Prize to make science directly beneficial to young people. I am in discussions about this with the Kindertelefoon (Children's Helpline) and with Mind Us. I want to try to build a much more direct bridge