110 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Ghent University
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__Secure-ROLLOUT_TOKENPending Maximum Storage Duration: 180 daysType: HTTP Cookie __Secure-YECStores the user's video player preferences using embedded YouTube video Maximum Storage Duration
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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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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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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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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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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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, 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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Website https://academicpositions.com/ad/ghent-university/2026/postdoc-researcher-29689… Requirements Research FieldEconomicsYears of Research Experience4 - 10 Research FieldEconomicsYears of Research
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synthetic biology context (check our website at https://csb-bioport.mystrikingly.com/ and www.csb.ugent.be ). You will conduct research on aquaglyceroporin engineering and on the FWO-WEAVE project “Study and
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to collaborate with other research groups. The time to apply and improve your knowledge and skills on state-of-the-art in machine learning, (probabilistic) modelling, system identification and numerical