99 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" 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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) in order to communicate with and collect 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
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the sustainability and reliability of drivetrain systems by combining advanced simulation techniques with data-driven models. The project involves close collaboration with experimental facilities as well as simulation
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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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-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