Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- University of Twente (UT)
- Eindhoven University of Technology (TU/e)
- University of Amsterdam (UvA)
- Wageningen University & Research
- Leiden University
- Vrije Universiteit Amsterdam (VU)
- Amsterdam UMC
- Erasmus MC (University Medical Center Rotterdam)
- KNAW
- Maastricht University (UM)
- Radboud University
- University Medical Center Utrecht (UMC Utrecht)
- Utrecht University
- 4 more »
- « less
-
Field
-
, multi‑dimensional imaging data and enable richer exploration of historical paintings in collaboration with the Van Gogh Museum. Information Paintings are examined to understand artistic processes, support
-
to develop a hyperspectral DUV imaging system for applications in microscopy in the context of chiral light-matter interactions at the nanoscale as part of our team at the VU Amsterdam (matzlab.com
-
the context of chiral light-matter interactions at the nanoscale as part of our team at the VU Amsterdam (matzlab.com ). Your project combines concepts from optical design, holographic imaging, computational
-
to identify multiple diseases using one blood sample or medical image. These tests can find diseases early, before symptoms develop. However, they often produce false positives, indicating disease when none is
-
bicycle scheme; For more information about employment conditions, see https://www.universiteitleiden.nl/en/working-at/job-application-procedure-and-employment-conditions What we value Promoting an inclusive
-
: Experience with crystallization processes, soft matter physics, or porous media Familiarity with imaging techniques (optical/electron microscopy, X-ray tomography, or spectroscopy) Experience with cultural
-
yields. Design robust uncertainty and OOD metrics for time-series satellite images and their foundation model embeddings to safely flag anomalies. Disseminate your research results by writing high-quality
-
of memory circuits and the specific role of the sleep-wake cycle in accelerating this decay. The project combines cutting-edge techniques such as in vivo and ex vivo electrophysiology, live-imaging of calcium
-
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
-
19 Mar 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Biomedical engineering Engineering » Computer engineering Researcher Profile