353 machine-learning-"https:"-"https:"-"https:"-"https:"-"CEA-Saclay" positions in Netherlands
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- Delft University of Technology (TU Delft); Published yesterday
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- Maastricht University (UM); 18 Oct ’25 published
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- University of Amsterdam (UvA); 10 Oct ’25 published
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- University of Amsterdam (UvA); today published
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- Vrije Universiteit Amsterdam (VU); Published 21 Nov ’25
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- DIFFER; Published yesterday
- Delft University of Technology (TU Delft); 17 Oct ’25 published
- Delft University of Technology (TU Delft); Published 21 Nov ’25
- Eindhoven University of Technology (TU/e); 10 Oct ’25 published
- Erasmus MC (University Medical Center Rotterdam); Published today
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- Erasmus University Rotterdam (EUR); Published 28 Nov ’25
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- KU Leuven; Published today
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- Max Planck Institute for Psycholinguistics; 10 Oct ’25 published
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- University Medical Center Utrecht (UMC Utrecht); Published 31 Oct ’25
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- University Medical Centre Groningen (UMCG); 10 Oct ’25 published
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- University of Amsterdam (UvA); Published 14 Nov ’25
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- University of Amsterdam (UvA); Published 5 Dec ’25
- University of Amsterdam (UvA); Published 7 Nov ’25
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- University of Twente (UT); today published
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- Utrecht University; Published yesterday
- Vrije Universiteit Amsterdam (VU); Published 14 Nov ’25
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- Vrije Universiteit Amsterdam (VU); Published yesterday
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- Wageningen University & Research; Published 14 Nov ’25
- Wageningen University & Research; Published 21 Nov ’25
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(DSO) to resolve local congestion issues. The design of such an edge decision-making platform requires an understanding of distribution systems operation as well as machine learning and optimization
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intelligence (AI) and machine learning(ML). Duties This position combines knowledge of the Earth observation (EO) domain (EO instruments, EO data, EO algorithms, modelling, etc.) and AI/ML, as well as data
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methods, integrating qualitative approaches (e.g., interviews, walk-alongs, focus groups) with quantitative techniques (e.g., computer vision, physiological sensing, environmental monitoring, crowd
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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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with world-changing potential. Our mission: to develop scalable prototypes of a quantum computer and an inherently safe quantum internet, based on the fundamental laws of quantum mechanics. To achieve
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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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eager to apply and valorize scientific results in this field in high-tech domains such as semiconductor machines and robots, together with highly innovative companies? Would you like to work in a team of
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FTE (4-5 days per week) and we require that you work on campus at least 2 days per week. On the other days, it is possible to work from home. We ensure you are provided with a notebook computer and