82 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" uni jobs at Ghent University
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the FAQ or contact us via selecties@ugent.be . Where to apply Website https://academicpositions.com/ad/ghent-university/2026/assistant-pharmacoepidem… Requirements Research FieldBiological sciencesYears
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their results in the context of the clients. Analyses will be conducted with several software packages for statistical data analysis (possibly including R, SAS, Python, …). The new colleague may acquire new
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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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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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to acquire them; demonstrate strong abstract reasoning skills; have a good command of English (working language). No prior knowledge of Dutch or French is required; willingness to acquire basic Dutch is
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. For more information about this vacancy, please contact prof. Petra Van Damme (petra.vandamme@UGent.be , +32 (0)9/264 51 29). Where to apply Website https://academicpositions.com/ad/ghent-university/2026
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of statistics, computer science and/or machine learning Interest in biology or molecular biology, microbial ecology Proficiency in programming languages such as Python, R and/or C++ as well as Linux systems
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on various aspects of (micro)palaeontology, which will constitute a rich and exciting working environment for the successful candidate. https://www.ugent.be/we/geologie/en/research/organization/palaeontology
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question regarding the online application process? Please read the FAQ or contact us via selecties@ugent.be . Where to apply Website https://academicpositions.com/ad/ghent-university/2026/assistant
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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