99 data-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" 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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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 extensive collaborative (interdisciplinary
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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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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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under the Geneva Convention are not taken into account. Applicants must be excellent in English and have Dutch language skills (Minimum B 1 for Dutch) in order to communicate with and collect data in
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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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, 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