153 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Ulster-University" positions in Netherlands
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- Eindhoven University of Technology (TU/e); Published yesterday
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- University of Amsterdam (UvA); Published 5 Dec ’25
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computational lens. This calls for strong expertise in computational methods, machine learning, and data modelling combined with solid knowledge of music. We particularly aim to cover a broad range of musical
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optical probes on micro-photonic chips for submicron-scale optogenetics, the development of a neuron–computer interface system, and the use of iPSC-derived human neurons for all-optical physiology
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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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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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. 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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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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, 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