128 machine-learning-"https:"-"https:"-"https:"-"CEA-Saclay" PhD positions in Netherlands
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- Delft University of Technology (TU Delft); Published yesterday
- Delft University of Technology (TU Delft); yesterday published
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- Vrije Universiteit Amsterdam (VU); Published today
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- Delft University of Technology (TU Delft); today published
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- Eindhoven University of Technology (TU/e); Published today
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- DIFFER; Published yesterday
- Delft University of Technology (TU Delft); 17 Oct ’25 published
- Erasmus MC (University Medical Center Rotterdam); yesterday published
- Erasmus University Rotterdam (EUR); yesterday published
- Leiden University; yesterday published
- Maastricht University (UM); 18 Oct ’25 published
- Maastricht University (UM); 7 Oct ’25 published
- Maastricht University (UM); Published today
- Maastricht University (UM); Published yesterday
- Maastricht University (UM); today published
- Radboud University Medical Center (Radboudumc); Published today
- Radix Trading LLC
- Tilburg University; yesterday published
- University Medical Center Utrecht (UMC Utrecht); Published 31 Oct ’25
- University Medical Center Utrecht (UMC Utrecht); Published yesterday
- University Medical Center Utrecht (UMC Utrecht); today published
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); 10 Oct ’25 published
- 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
- Wageningen University & Research; today published
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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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shifts in cell state and cell fate. Integrate spatial transcriptomics data to anchor these predictions in tissue context. Develop machine learning methods (e.g. graph neural networks, variational
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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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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
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shifts in cell state and cell fate. Integrate spatial transcriptomics data to anchor these predictions in tissue context. Develop machine learning methods (e.g. graph neural networks, variational
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the SCM section will fill a maximum of one PhD positions this year that can be on any of these topics. Machine learning for stochastic last-mile deliveries In recent years, stochasticity has received
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and programming (MATLAB, Python, R, or other scientific coding/programming). Affinity with computational neuroscience, connectomics and/or Machine Learning is appreciated. Our goal perform connectome
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Social Participation). TACIT focuses on the co-design of inclusive and accessible AI and other technologies for people with disabilities through inclusive Human-Computer Interaction (HCI) and participatory
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. optimization and machine learning techniques) to prepare ports, terminals, shipping companies, and other port actors for this important challenge. Your research will be part of the PortCall.Zero project - a five
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the attractiveness to the users, we need innovative designs where fixed and flexible services support each other. This necessitates a multidisciplinary approach bringing together optimization, machine learning and