452 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" positions in Belgium
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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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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Where to apply Website https://jobs.vito.be/o/phd-position-coupling-electrochemical-nitration-and-redu
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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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affected by warping, addressing both audio analysis and synthesis tasks. The methodological scope spans stochastic signal processing and machine learning, including hybrid physics‑guided and data‑driven
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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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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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, proteomics, microscopy, structural biology, technology development, and bioinformatics at VIB-UAntwerp Center for Molecular Neurology (https://cmn.sites.vib.be/ ), at VIB (https://vib.be/ ), and at UBirmingham
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: Shape the future of immersive visual technologies through optical, computational, and machine‑learning innovation. We are a university research group at imec-VUB in Brussels, with expertise in optical
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in autonomous systems such as ground and aerial vehicles, and mobile robots. This includes: formulating and solving long-standing multiterminal information theory problems using modern machine learning
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Infrastructure? No Offer Description The PhD candidate will work on the development of advanced statistical and machine learning methods for time series prediction, with applications mainly in the field of traffic