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- Delft University of Technology (TU Delft)
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- Delft University of Technology (TU Delft); Published yesterday
- Eindhoven University of Technology (TU/e); Published yesterday
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- University of Amsterdam (UvA); 10 Oct ’25 published
- University of Amsterdam (UvA); Published 21 Nov ’25
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- Vrije Universiteit Amsterdam (VU); Published today
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of excellence. Context The yield of many manufacturing processes of micro- and nanoscale substrates depends highly on their cleanliness. Reduction of contaminating particles improves the overall efficiency and
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11 Nov 2025 Job Information Organisation/Company Vrije Universiteit Amsterdam (VU) Research Field Computer science » Computer architecture Computer science » Programming Engineering » Computer
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research-oriented internships in the industry What we ask of you Completed or soon-to-be completed MSc in Computer Security, Computer Science, Artificial Intelligence, Mathematics, Computer Engineering
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will join a dynamic research team with access to facilities for materials synthesis and parallel catalytic reactor testing. This position offers extensive training in sustainable chemistry and
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of computational power over the last decade has enabled scale-resolving simulations (SRS) of turbulent flows at an unprecedented resolution. In combination with high-performance computing (HPC), parallel
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with high-performance computing (HPC), parallel computational fluid dynamic simulations can currently resolve spatial and temporal scales of industrially-relevant turbulent flows within days/weeks
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durability compared to existing PV modules and, in the process, train a group of young engineers in developing more circular PV modules to spark future innovations . In parallel, we aim to implement
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overview of translational regulation during development. In parallel, you will uncover the mechanisms that control localized and cell-type-specific translation, and how these change across developmental
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-of-the-art implementations of these new techniques (e.g., by leveraging data-parallel functional array programming techniques); applying them to solve real-world problems (e.g., gradient estimation challenges