205 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs in Belgium
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of thermal energy and (hybrid) machine learning in which physics-based models are combined with data-driven techniques. Thermal cycles make it possible to meet the demand for heating, cooling, and electricity
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the top 10% of their class in MSc and BSc, and have exceptional grades; should have a background in microwave engineering and machine learning; should have strong communication skills and be fluent in
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machine learning. This encompasses application domains such as industrial inspection, (ultra) high-definition video enhancement, smart multi-camera networks, computer vision, sensor fusion, and (medical
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connected within the European network of peer facilities. https://agro-incubator.sites.vib.be/ https://vib.be/ About the role We are seeking an inspiring and strategic Head of the VIB Agro-Incubator to lead
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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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the links. Questionnaire: https://forms.office.com/e/aawn35iLvA Academic dossier : https://www.fundinginstitutional.com/opportunities/9000002408 ATTENTION: if no completed templates are received, your
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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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the links. Questionnaire: https://forms.office.com/e/4ttu1GtVmu Academic dossier : https://www.fundinginstitutional.com/opportunities/9000002408 (please upload this document under ‘Degrees and Certificates
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the links. Questionnaire: https://forms.office.com/e/206EF9c20u Academic dossier : https://www.fundinginstitutional.com/opportunities/9000002408 (please upload this document under ‘Degrees and Certificates
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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