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computational mechanics of composite materials, and should be enthusiastic to work in a collaborative project between industry and academia.Vacancy 3: PhD (4 years) or postdoc (3 years) on mechanical modelling
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that transcends the boundaries of faculties and science disciplines. The PhD community is supported by the Doctoral Schools Ghent University and Gentse Pre- en Postdoc Raad . Psychosocial well-being at work and
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and science disciplines. The PhD community is supported by the Doctoral Schools Ghent University and Gentse Pre- en Postdoc Psychosocial well-being at work and ombudsperson Doctoral and other students
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Researcher (R1) Country Belgium Application Deadline 30 Sep 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 38 Is the job funded through the EU Research Framework Programme
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the Sustainable Systems Engineering (STEN) research group of the Department of Green Chemistry and Technology, Faculty of Bioscience Engineering, Ghent University (UGent). The PhD student will contribute
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degree in Bioscience Engineering (Chemistry and Bioprocess Technology) or a Master in Sciences (Chemistry), or equivalent. You need to fulfill the criteria on the date of the start of the mandate. • You do
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performed on advanced building blocks. This doctoral mandate is part of the EU PHARMECO project. Job profile You hold a Master’s degree in Bioscience Engineering (Chemistry and Bioprocess technology) or a
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Job description We are seeking a highly motivated and talented PhD researcher in the field of mechanics of materials. You will work in the areas of computational mechanics, multi-physics modelling
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double) PhD program between Ghent University and their home university. Students selected under this preference program will be exempted from paying tuition, bench fees, or any other study-related costs
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for five years, from November 30, 2023, to November 30, 2028. Under this agreement, UGent and CSC co-finance about 50 new CSC PhD students annually. Students selected through the UGent-CSC preference program