27 programming-"Multiple"-"U"-"Prof"-"FEMTO-ST-institute" Postdoctoral positions in Netherlands
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- Max Planck Institute (MPI) for Psycholinguistics
- University of Amsterdam (UvA)
- Delft University of Technology (TU Delft)
- Leiden University
- Radboud University
- University of Amsterdam (UvA); Amsterdam
- Association of Dutch Burn Centres; today published
- CWI
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); 26 Sep ’25 published
- Leiden University; 's-Gravenhage
- Max Planck Institute for Psycholinguistics
- Max Planck Institute for Psycholinguistics; today published
- University of Amsterdam (UvA); 26 Sep ’25 published
- University of Amsterdam (UvA); today published
- Utrecht University
- Utrecht University; today published
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
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modelling (diffusion/transformers), multimodal representation learning, and experience in computer graphics/animation. Strong programming skills, especially in Python. Ideally, you have experience with
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modelling (diffusion/transformers), multimodal representation learning, and experience in computer graphics/animation. Strong programming skills, especially in Python. Ideally, you have experience with
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modelling (diffusion/transformers), multimodal representation learning, and experience in computer graphics/animation. Strong programming skills, especially in Python. Ideally, you have experience with
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Computer science » Programming Technology » Biotechnology Researcher Profile Recognised Researcher (R2) Country Netherlands Application Deadline 29 Sep 2025 - 22:00 (UTC) Type of Contract Temporary Job
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uptake. Within TU Delft, we collaborate with industrial partners and multiple research groups in the Pro2Tech institute. The position will form a bridge between research groups in the Chemical Engineering
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description
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). This includes identifying new factors that drive disease progression. The primary focus will be on using state-of-the-art genetic programming (in particular: GP-GOMEA) for small, explainable expression discovery