145 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" positions at Ghent University
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a teaching assistant for one one-semester course. WHAT WE ARE LOOKING FOR Candidates have a Master of Science in Computer Science, Computer Science Engineering, or equivalent. You are interested to do
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where each offers its own separate study programme, rather than a joint study programme. Students can choose to complete part of their studies at a partner institution, allowing them to earn two separate
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applications from candidates (m/f/x) with: Educational background A Master’s degree in artificial intelligence, computer science, data science, statistics, engineering, applied mathematics, economics, sociology
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engineering, industrial engineering, mathematics, engineering, computer science, artificial intelligence). Strong study results are an asset. A strong interest in scientific research in machine learning and AI
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Platform Faculty of Arts & Philosophy http://research.flw.ugent.be/ Expertise database of the Ghent Africa Platform For an overview of Ghent University expertise on Africa and current project with African
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) at Ghent University is seeking a highly motivated PhD candidate to join our research program on the plasma-assisted development of advanced tissue engineering scaffolds. The project explores how cold plasmas
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) at Ghent University is seeking a highly motivated PhD candidate to join our research program on the plasma-assisted development of advanced tissue engineering scaffolds. The project explores how cold plasmas
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WE ARE LOOKING FOR You hold a master of science in engineering (technology), preferably in electromechanical or electrical engineering. You are motivated, creative and have a passion for academic
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are looking for candidates with the following qualifications and skills. You hold (or will hold, at the time of joining our team) an M.Sc. degree relevant to the position (i.e., with a focus on computer science
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Sensing group, https://www.marsens-ugent.be/ ) investigates the vital link between marine ecosystems and ocean carbon cycling using innovative remote sensing and in situ observation technologies. Our