112 machine-learning-"https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" positions at Ghent University
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TASKS The Marchal lab (IDLab/IMEC Ghent University, https://idlab.ugent.be/people/802000961346 ) has an open PhD position within the Marie Sklodowska-Curie Doctoral Networks (MSCA-DN) project iSTRIDE
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particular the research lines of Professors Seppe vanden Broucke (e.g., applications of deep learning, graph learning, geospatial analytics, process mining), Frederik Gailly (e.g., ontologies, knowledge graphs
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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. Fluency in spoken and
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)palaeontology, which will constitute a rich and exciting working environment for the successful candidate. https://www.ugent.be/we/geologie/en/research/organization/palaeontology-and-palaeo-environments https
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on experimental data which you acquire. You publish the research results in scientific journals and present at international conferences You contribute to the supervision of master and PhD students At least 70% of
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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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, 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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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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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