85 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions in Netherlands
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- University of Twente
- Delft University of Technology (TU Delft); Published yesterday
- Erasmus University Rotterdam
- Utrecht University
- Vrije Universiteit Amsterdam (VU); Published today
- Radboud University
- University of Groningen; Published yesterday
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- University of Amsterdam (UvA); Published today
- Wageningen University and Research Center
- Eindhoven University of Technology (TU/e); Published today
- KNAW
- Radboud University Medical Center (Radboudumc); Published yesterday
- University of Amsterdam (UvA); Published yesterday
- University of Twente (UT)
- DIFFER
- DIFFER; Published yesterday
- Delft University of Technology (TU Delft); yesterday published
- Eindhoven University of Technology (TU/e); yesterday published
- Erasmus University Rotterdam (EUR); yesterday published
- Leiden University
- Maastricht University (UM); Published today
- Maastricht University (UM); Published yesterday
- Radboud University Medical Center (Radboudumc); Published today
- University Medical Center Utrecht (UMC Utrecht); Published 31 Oct ’25
- University Medical Center Utrecht (UMC Utrecht); Published yesterday
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Published 14 Nov ’25
- University of Amsterdam (UvA); Published 21 Nov ’25
- University of Amsterdam (UvA); Published 28 Nov ’25
- University of Twente (UT); today published
- Utrecht University; Published yesterday
- Vrije Universiteit Amsterdam (VU); Published 28 Nov ’25
- Vrije Universiteit Amsterdam (VU); Published 31 Oct ’25
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organizational skills. Experience with using machine learning packages (e.g.PyTorch). Completed academic courses in AI or machine learning. Interest in societal, ethical and philosophical questions. We consider it
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by the Fondation Paralysie Cérébrale—you will help develop a machine learning-based multimodal prediction tool for CP diagnosis and long-term outcomes. This tool will integrate advanced clinical
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from reactive to proactive. The goal is to increase transparency and trust in the DNS namespace. Key research activities will include applying machine learning and graph-based techniques to uncover
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become better versions of themselves. At BMS we do this through academic education, fundamental science and societal problem-solving. From Bachelor’s or Master’s degrees and Professional Learning
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willingness to learn Dutch. We prefer that you are proficient in scientific computing (Python, Matlab, R, and UNIX), have strong data processing and collection, and are familiar with the basics of machine
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develop models that can read, extract and acquire knowledge from legacy data, coming both in the form of text and in the form of structured data (e.g. physical measurements) to predict characteristics
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physics and permeability evolution models from µCT data using machine learning and computational tools (PuMA/CHFEM/MOOSE) validated against experimental observations Bridging scales from pore-level
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Applications. The candidate will be embedded in the Massivizing Computer Systems (MCS) group, which focuses on research in distributed computing systems and ecosystems, and currently spans over 40 diverse people
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sizes and frequencies by: Measuring rock fractures from UAV data using manual and automated mapping approaches (e.g., machine learning, convolutional neural networks). Monitoring physical weathering
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boundaries of system-level modelling, analysis, design, exploration and synthesis beyond the current state-of-the-art? Or are you curious to learn more about the application of AI for system diagnostics and