Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- Utrecht University
- Eindhoven University of Technology (TU/e)
- University of Twente
- Radboud University
- University of Twente (UT)
- Wageningen University & Research
- University of Amsterdam (UvA)
- Erasmus University Rotterdam
- Leiden University
- Tilburg University
- Maastricht University (UM)
- Amsterdam UMC
- Wageningen University and Research Center
- Vrije Universiteit Amsterdam (VU)
- Erasmus University Rotterdam (EUR)
- NIOZ Royal Netherlands Institute for Sea Research
- KNAW
- University Medical Center Utrecht (UMC Utrecht)
- University Medical Centre Groningen (UMCG)
- AMOLF
- Avans University of Applied Sciences
- Delft University of Technology (TU Delft); Published yesterday
- Princess Máxima Center for Pediatric Oncology
- Radboud University Medical Center (Radboudumc)
- University Medical Center Groningen
- University of Amsterdam (UvA); Published 28 Nov ’25
- University of Amsterdam (UvA); Published yesterday
- University of Groningen
- University of Groningen; Published 28 Nov ’25
- University of Twente (UT); Published today
- Vrije Universiteit Amsterdam (VU); Published 28 Nov ’25
- Wageningen University & Research; Published yesterday
- 23 more »
- « less
-
Field
-
parallel, it produces new, high-resolution computer models of the warm Last Interglacial period. Finally, PAST creates new knowledge by synthesising these two approaches through advanced statistics. This PhD
-
designers of their workplace rather than passive recipients of noise measurements. The research will follow an iterative research and development process characterized by deep, on-site engagement with NPICU
-
researcher who enjoys working on methodological challenges. You bring: an MSc degree, preferably from a research master, in psychology, neuroscience, bioinformatics or a related field, candidates who will
-
? The research project Ependymomas are brain tumors that primarily affect children. Despite intense treatments like surgery, radiation, and sometimes chemotherapy, the survival rates remain low because some cancer
-
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
-
on cell-state diversity within tumours. In parallel, you will collaborate closely with a postdoctoral researcher to develop and apply novel proximity-labelling strategies to chart dynamic protein–protein
-
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
-
single-cell proteomics approaches on patient samples to gain additional resolution on cell-state diversity within tumours. In parallel, you will collaborate closely with a postdoctoral researcher to
-
technology. Your main focus will be the improvement and development of solid electrolytes to achieve better (electro)chemical stability with silicon anodes. In parallel, you will investigate strategies
-
techniques); giving mathematical proofs of their correctness and efficiency; building state-of-the-art implementations of these new techniques (e.g., by leveraging data-parallel functional array programming