82 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at Ghent University
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the FAQ or contact us via selecties@ugent.be . Where to apply Website https://academicpositions.com/ad/ghent-university/2026/assistant-pharmacoepidem… Requirements Research FieldBiological sciencesYears
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immunology and rheumatology research. For more details see: https://www.irc.ugent.be/groups/elewaut-lab You will be supervised by experienced investigators with a strong international track record in
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to acquire them; demonstrate strong abstract reasoning skills; have a good command of English (working language). No prior knowledge of Dutch or French is required; willingness to acquire basic Dutch is
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on various aspects of (micro)palaeontology, which will constitute a rich and exciting working environment for the successful candidate. https://www.ugent.be/we/geologie/en/research/organization/palaeontology
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. For more information about this vacancy, please contact prof. Petra Van Damme (petra.vandamme@UGent.be , +32 (0)9/264 51 29). Where to apply Website https://academicpositions.com/ad/ghent-university/2026
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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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with both experimental research and simulation software. You possess strong technical knowledge, expertise, and hands-on experience in the field of electric machines. Additional knowledge of power
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technical knowledge, expertise, and hands-on experience in the field of power electronics. Additional knowledge of electric motor design and the control of electric machines is considered an asset. You have
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question regarding the online application process? Please read the FAQ or contact us via selecties@ugent.be . Where to apply Website https://academicpositions.com/ad/ghent-university/2026/assistant
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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