157 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions in Netherlands
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- European Space Agency
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- University of Groningen; Published yesterday
- Eindhoven University of Technology (TU/e)
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- University of Amsterdam (UvA); Published today
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- Maastricht University (UM); Published 21 Nov ’25
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- University of Amsterdam (UvA); Published 21 Nov ’25
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- Vrije Universiteit Amsterdam (VU); Published 21 Nov ’25
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- Delft University of Technology (TU Delft); Published 21 Nov ’25
- Delft University of Technology (TU Delft); Published today
- Erasmus University Rotterdam (EUR); Published 28 Nov ’25
- KU Leuven; Published today
- Leiden University
- Nature Careers
- University of Amsterdam (UvA); Published 28 Nov ’25
- University of Amsterdam (UvA); Published 5 Dec ’25
- University of Twente (UT); Published today
- Utrecht University; Published yesterday
- Vrije Universiteit Amsterdam (VU); Published 28 Nov ’25
- Wageningen University & Research; Published 21 Nov ’25
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language processing, and more. We own and operate the entire technology stack for Machine Learning Operations. This ensures that the models we build translate into secure, reliable, and actionable outcomes across
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Vacancies 2x PhD positions in the Mathematical Foundations of Machine Learning on Graphs and Networks Key takeaways The Discrete Mathematics and Mathematical Programming (DMMP) group
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Machine Learning, Computer Science, Mathematics, Statistics, Physics or a closely related field and want to join the mission of unlocking the “geometry of artificial intelligence” then come join us! Join us
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Mathematics (Inverse Problems), Computer Science (Machine learning, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of the NXTGen High-tech
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Are you interested in challenging deep learning at its core? And specifically, do you want to perform cutting-edge research and develop novel advances in hyperbolic deep learning for computer vision
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). The field of Machine Learning on Graphs aims to extract knowledge from graph-structured and network data through powerful machine learning models. Designing provably powerful learning models for graphs will
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on Graphs: Symmetry Meets Structure (LOGSMS). The field of Machine Learning on Graphs aims to extract knowledge from graph-structured and network data through powerful machine learning models. Designing
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of the future, striving to improve healthcare and society as a whole. Where to apply Website https://www.academictransfer.com/en/jobs/356668/phd-in-machine-learning-for-dru… Requirements Specific Requirements
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specifically, do you want to perform cutting-edge research and develop novel advances in hyperbolic deep learning for computer vision? Then check out the vacancy below and apply for a PhD position in this
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will directly support the energy transition by creating future-proof learning environments that prepare professionals for emerging roles in the hydrogen economy. Where to apply Website https