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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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, 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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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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, or compensation if you come by bike; Cost-free hospitalisation and group insurance with guaranteed income; The space to form your job content and continuously learn via VUB LRN; Excellent facilities for sport and
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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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Universiteit Brussels, Brubotics and SUME. Brubotics (https://www.brubotics.eu/ ), is the robotics research group, and has for the last 10 years a research line on additive manufacturing, in particular in
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@kuleuven.be or Prof. dr. Frank Verbruggen, mail: frank.verbruggen@kuleuven.be.In case of problems with the online application, please contact solliciteren@kuleuven.be . Where to apply Website https
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will remain confidential. More details on gender and diversity policies are available at: https://www.ulb.be/fr/l-ulb-s-engage/diversites Work Location(s) Number of offers available2Company/InstituteULB
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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