96 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" uni jobs at Ghent University
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governance of AI and data-driven systems. Artificial intelligence is increasingly used in domains such as policing, law enforcement and crime prevention. These applications raise profound legal, regulatory and
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or in Dutch. The rest of the procedure will be in the language of your application. Contact Ghent University for help with your budget. The only information we need is the number of years of work
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of the UNPACK team, you will be intensively working together in a team of 8 researchers and 4 professors. You will share your data and analyses with your co-researchers and supervisors, and engage in
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of 12.000 euro. The bench fee remains available to the research network for the duration of the collaboration and the two subsequent years. More information Contact Team Flemish, Federal & BOF Projects
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) in order to communicate with and collect data in older adult participants. WHAT WE CAN OFFER YOU We offer a full-time position as a doctoral fellow, consisting of an initial period of 12 months, which
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of the UNPACK team, you will be intensively working together in a team of 8 researchers and 4 professors. You will share your data and analyses with your co-researchers and supervisors, and engage in
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collaboration with biomedical partners Analyse data and translate findings into scientific insights Prepare scientific publications and present results at international conferences Contribute to the scientific
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preregistration on 30 June 2025 at the latest, via the FWO e-portal The 5 Flemish universities exchange the information about the preregistrations in order to detect possible collaborations. The promoter-supervisor
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the sustainability and reliability of drivetrain systems by combining advanced simulation techniques with data-driven models. The project involves close collaboration with experimental facilities as well as simulation
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intensively working together in a team of 8 researchers and 4 professors. You will share your data and analyses with your co-researchers and supervisors, and engage in extensive collaborative (interdisciplinary