167 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions in Netherlands
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- Delft University of Technology (TU Delft); Published today
- Eindhoven University of Technology (TU/e); Published yesterday
- Erasmus University Rotterdam (EUR); Published 28 Nov ’25
- Erasmus University Rotterdam (EUR); Published today
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- Radboud University Medical Center (Radboudumc); Published yesterday
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- University of Amsterdam (UvA); Published 28 Nov ’25
- University of Amsterdam (UvA); Published 5 Dec ’25
- University of Amsterdam (UvA); Published yesterday
- University of Twente (UT); Published today
- Vrije Universiteit Amsterdam (VU); Published 28 Nov ’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 designing and constructing new technical setups. You have a background in mechanical engineering (werktuigbouwkunde) or similar, you are skilled in operating machines in a workshop (lathe / mill
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online learning platform Canvas, preparation of each programme (ordering catering/books, booking hotels for faculty, preparation of lecturer contracts and preparation of class materials), instructor
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always held a central role in applied mathematics and, nowadays, its popularity has surged in fields traditionally focused on real-world applications, such as engineering, machine learning and imaging
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description This project addresses the effective design of a military supply logistics network, composed of transportation and communication links such as roads and rail, aerial drone routes, and nodes, such as
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. You have familiarity with multivariate methods, network analysis or machine learning. You have interest in language, cognition, and individual variability in brain organisation. What we offer you We
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research and teaching ecosystem (e.g., by acquiring external research and innovation funding); (co-)teach and coordinate courses in our Bachelor and Master programs of Business & IT and International
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different companies and restaurants. The office is easy to reach by public transport as well as by car. RSM BV is an equal opportunity employer and explicitly encourages applications from candidates of all
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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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, Introduction to Python, making figures using GGplot2 and basic machine learning. These courses are offered to PhD candidates through the PhD Course Centre of the Graduate School of Life Sciences . In