153 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Fraunhofer Gesellschaft" positions at Ghent University in Belgium
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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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, and data science training) as well as patient resources (clinical datasets, leukapheresis samples, and ex vivo lymphoid tissues from patients). Overall, this project aims to uncover new molecular
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who self-identify as belonging to vulnerable or minority groups are strongly encouraged to apply. Additional information For more information about the project, please click here . For more information
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conditions and criteria of the regulations for doctoral fellowships is considered free of personal income tax. Click here for more information about our salary scales All Ghent University staff members enjoy a
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information about our salary scales All Ghent University staff members enjoy a number of benefits, such as a wide range of training and education opportunities, 36 days of holiday leave (on an annual basis
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conditions and criteria of the regulations for doctoral fellowships is considered free of personal income tax. Click here for more information about our salary scales All Ghent University staff members enjoy a
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in the framework of the Personal program of CSC with the support of a Ghent University supervisor instead. Deadline and information about the Preference program. For questions about the yearly call
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estimates an appropriate price (pricing/revenue management). This is done through machine learning and data analytics techniques, making use of historical and product attribute data. Market-based valuation
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characterization using advanced techniques (XPS, FTIR, SEM, AFM) Evaluate biological responses (cell adhesion, proliferation, differentiation) in collaboration with biomedical partners Analyse data and translate