99 data-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at Ghent University
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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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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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evaluation, will be extended to a total maximum of 48 months. INTERESTED? For more information about this vacancy, please contact Prof. Ine Lentacker (Ine.Lentacker@UGent.be ) and dr. Rein Verbeke
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extended to a total maximum of 48 months. INTERESTED? For more information about this vacancy, please contact Prof. Ine Lentacker (Ine.Lentacker@UGent.be ) and dr. Rein Verbeke (Rein.Verbeke@UGent.be ).
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-omics bulk, single-cell and spatial transcriptomic data from tissue samples of people living with HIV (PLWH). The candidate will develop new bioinformatic pipelines and perform integrative analysis
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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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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