204 machine-learning "https:" "https:" "https:" "https:" "The Open University" uni jobs in Belgium
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, United Nations University, ...).https://www.ugent.be/en/research/funding/globalsouthhttps://www.ugent.be/++resource++plone-logo.svg Ghent University actively participates in several development projects, financed
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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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» OtherEducation LevelPhD or equivalent Skills/Qualifications Who you are PhD in Computer Science, Machine Learning or related field or 5+ years of relevant industrial experience. Strong track record of developing
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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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leverage state of the art machine learning models (AlphaFold2, RFdiffusion) and multi-omics data integration to guide the rational design and optimization of therapeutic antibodies. Overall, you will have
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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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(Lies.Lahousse@UGent.be , +32 9/264 81 14). Do you have a question regarding the online application process? Please read the FAQ or contact us via selecties@ugent.be . Where to apply Website https
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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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immunology and rheumatology research. For more details see: https://www.irc.ugent.be/groups/elewaut-lab You will be supervised by experienced investigators with a strong international track record in
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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