106 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "The University of Gothenburg" uni jobs at Ghent University
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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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-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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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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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
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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 - after a positive evaluation, will be
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the study will involve patient contact, coordination of sample collection and integration of clinical data. You are highly motivated, have a strong interest in scientific research and have a good