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- Delft University of Technology (TU Delft)
- Tilburg University
- Amsterdam UMC; Published today
- Delft University of Technology (TU Delft); 26 Sep ’25 published
- Delft University of Technology (TU Delft); Published 11 Nov ’25
- Delft University of Technology (TU Delft); Published yesterday
- KNAW
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); 26 Sep ’25 published
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Field
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in physics or engineering including wave physics and signal processing Expertise in flow quantification and mapping with ultrasound imaging mandatory Extensive experience in programming (Matlab and C
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With the advent of novel immunotherapies such as conventional antibodies, T cell–targeting antibodies, antibody–drug conjugates and CAR T cells, the treatment of multiple myeloma is advancing
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-learning based vision pipelines to preprocess, segment cells and perform phenotype classification and regression on a variety of microscopy images. You will deal with images from multiple microscopy domains
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Postdoctoral Researcher to join the NWO-VIDI project Not-Just-Water, which investigates how multiple phases (e.g. air, water, debris) influence impact loads on structures during extreme hydrodynamic events
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aims to study how the brain processes pictures and sequences of pictures, like in comics. These PhD positions will study how sequences of images combine images together into hierarchic relationships
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(GenIR), a new and rapidly evolving retrieval paradigm where generative models are used to directly generate document identifiers given a user query. This paradigm departs from traditional multi-stage
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generate document identifiers given a user query. This paradigm departs from traditional multi-stage retrieval pipelines and instead integrates the indexing and retrieval process into a single, end-to-end
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will image them using a variety of microscopy methods, and collaborate with a team of computer vision scientists to build ML-based models for phenotype prediction, helping to accelerate the cell
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cell lines have been engineered and characterised, you will image them using a variety of microscopy methods, and collaborate with a team of computer vision scientists to build ML-based models
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. Explore multiple surface modification strategies including Poly-L-lysine, silane-based approaches, and novel functionalization techniques. Molecular Recognition Elements: Characterize the performance