103 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" "UNIV" uni jobs at Ghent University
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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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, 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
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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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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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-Pietersnieuwstraat 35, 9000 Gent, Belgium. Analysing data on wild fauna and flora in their proper ecological and historical context. Publishing the research results in international peer reviewed journals, single
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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
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; further training and skill development will take place during the PhD: Experience in computational data analysis and quantitative modelling (e.g. in R). Experience in one or more of the following laboratory