197 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" 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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with Machine Learning Highly motivated to learn about biology and (the study of) biological data Enthusiastic team player Desirable but not required Experience with single-cell omics data Experience with
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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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, 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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-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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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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, disability, race, ethnicity, religion or belief, sexual orientation or age. We encourage people from diverse backgrounds and with diverse characteristics to apply. Where to apply Website https
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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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to ensure the learning of the essential basic concepts of fundamental immunology in the second year, as well as the knowledge and understanding of the host–pathogen relationship in the third year of
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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