113 machine-learning "https:" "https:" "https:" "https:" "The Open University" positions at Ghent University
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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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perspective, including (but not limited to): machine learning and statistical learning computer vision and sensor-based data analysis natural language processing and large language models hybrid, interpretable
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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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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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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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? Please read the FAQ or contact us via selecties@ugent.be . Where to apply Website https://academicpositions.com/ad/ghent-university/2026/postdoctoral-scientific-… Requirements Research FieldComputer
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contact Prof. Ine Lentacker (Ine.Lentacker@UGent.be ) and dr. Rein Verbeke (Rein.Verbeke@UGent.be ). Where to apply Website https://academicpositions.com/ad/ghent-university/2026/doctoral-fellow-departme
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, please contact Prof. Ine Lentacker (Ine.Lentacker@UGent.be ) and dr. Rein Verbeke (Rein.Verbeke@UGent.be ). Where to apply Website https://academicpositions.com/ad/ghent-university/2026/doctoral-fellow
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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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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