63 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Politecnico-di-Milano" positions at Ghent University in Belgium
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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/researcher-ai-data-scien
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Research FieldTechnologyYears of Research Experience1 - 4 Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available1Company
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Experience4 - 10 Research FieldEngineeringYears of Research Experience4 - 10 Research FieldEngineeringYears of Research Experience4 - 10 Additional Information Website for additional job details https
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encouraged to apply for this position. For more information about this vacancy, please contact prof. Bjorn De Sutter (bjorn.desutter@ugent.be , +32(0)9/264 33 67) Where to apply Website https
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- 4 Research FieldEngineeringYears of Research Experience1 - 4 Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available1Company
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that must operate under uncertainty, incomplete information and strategic behaviour? The European Research Council (ERC) has awarded a prestigious Consolidator Grant to Prof. dr. Wim Hardyns (Department
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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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research into the contribution of peak concentrations to total particulate matter exposure in residential settings. You will set up measurement campaigns and process existing measurement data in
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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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. The research aims to translate geometric design information into quantitative estimates of manufacturing effort and cost. Methods include Graph Neural Networks, geometric deep learning, and multi-view learning