201 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs in Belgium
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related humanities discipline (to be obtained by the start of the PhD); an interest in early modern manuscript and printed sources; good passive knowledge of Latin, or willingness to acquire it during
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please contact Prof. dr. Elise Muir, mail: elise.muir@kuleuven.be or Mrs. Bieke Schroeven, mail: bieke.schroeven@kuleuven.be . Where to apply Website https://www.kuleuven.be/personeel/jobsite/jobs
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, public transport and car. PhD position in Applied Mathematics This PhD position is associated with the Faculty of Sciences and the Department of Mathematics, Computer Science and Statistics, within
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, May 4, 2026, at 8:00 CET. If you are invited for an interview, we may ask you to present the results of a take‑home assignment. Where to apply Website https://www.kuleuven.be/personeel/jobsite/jobs
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should be exclusively submitted through the consortium webpage https://raptor-consortium.com/recruitment/ RAPTORplus aims at adapting proton therapy treatment with multi-modality image information acquired
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-of-the-art office in Ghent, with the flexibility to work one or two days from home How to apply Please complete the online application procedure (https://jobs.vib.be/apply/131347 ) and include a detailed
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researchers from IDLab-AIRO (robotic experts) and imec. Your main tasks include: Reviewing literature on decentralized control frameworks in the domain and machine learning algorithms compatible with
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machine. We develop quasi-Newton coupling algorithms for partitioned simulation of FSI, and we solve challenging FSI problems in the energy transition and in industry. This research is often in
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. Your core research tasks include: Developing advanced MBS/EHD models for drivetrain systems, incorporating transient tribological changes. Creating machine-learning-based surrogate models to enable rapid
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to collaborate with other research groups. The time to apply and improve your knowledge and skills on state-of-the-art in machine learning, (probabilistic) modelling, system identification and numerical