320 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions in Netherlands
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- European Space Agency
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- Delft University of Technology (TU Delft); Published yesterday
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- Maastricht University (UM); 18 Oct ’25 published
- Maastricht University (UM); Published 21 Nov ’25
- Maastricht University (UM); yesterday published
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- Radboud University Medical Center (Radboudumc); Published today
- Radboud University Medical Center (Radboudumc); Published yesterday
- University of Amsterdam (UvA); 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); today published
- Erasmus MC (University Medical Center Rotterdam); Published today
- Erasmus University Rotterdam (EUR); Published 28 Nov ’25
- Erasmus University Rotterdam (EUR); yesterday published
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- Radix Trading LLC
- Tilburg University; 16 Oct ’25 published
- Universiteit Maastricht (UM); Published yesterday
- University College Roosevelt; today published
- University Medical Center Utrecht (UMC Utrecht); Published 31 Oct ’25
- University Medical Center Utrecht (UMC Utrecht); Published today
- University Medical Center Utrecht (UMC Utrecht); today published
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Published 14 Nov ’25
- University of Amsterdam (UvA); Published 28 Nov ’25
- University of Amsterdam (UvA); Published 5 Dec ’25
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- University of Amsterdam (UvA); today published
- University of Twente (UT); Published today
- University of Twente (UT); Published yesterday
- University of Twente (UT); today published
- Utrecht University; Published 7 Nov ’25
- Utrecht University; Published yesterday
- Vrije Universiteit Amsterdam (VU); Published 14 Nov ’25
- Vrije Universiteit Amsterdam (VU); Published 28 Nov ’25
- Vrije Universiteit Amsterdam (VU); Published 8 Nov ’25
- Vrije Universiteit Amsterdam (VU); Published yesterday
- Vrije Universiteit Amsterdam (VU); today published
- Vrije Universiteit Amsterdam (VU); yesterday published
- Wageningen University & Research; Published 14 Nov ’25
- Wageningen University & Research; Published 21 Nov ’25
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on bringing data, machine learning and statistical modeling into the products that we build for our clients or internal users. The data scientists in INGA furthermore have a strong desire to keep up with and be
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, and prototyping. Lead education with workshop tools and machines. Lead the academic aspects of operation and management of the engineering technical learning spaces in collaboration with the laboratory
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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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& Educational Affairs ensure that Vrije Universiteit Amsterdam works like a well-oiled machine. We assist in logistics and help with realising educational programmes; we also aim to create a worry-free and
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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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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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As Assistant Professor in Air Traffic Management, your research advances intelligent and sustainable ways to manage global airspace. By applying artificial intelligence and machine learning, you
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of the Swammerdam Institute for Life Sciences at the University of Amsterdam (UvA). BDA works on the development of methodology for data mining, machine learning/deep learning, data fusion, and modelling and
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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