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diagnostic sector, and the Point-of-Care diagnostic supply chain. The recruited candidate will be responsible for generating a database of qualitative data acquired through focus groups and interviews with
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plans, analysis, and presentation of data as well as other assignments related to scientific development (e.g. writing manuscripts, reviews, and supervising/teaching other fellows). Studies focus
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specimens, on subjects. The incumbent will also need to track subjects and specimens in study database and may need to abstract medical record information on subjects/specimens and enter these data
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overactive bladder (OAB). Ideal candidates will have a Ph.D. in a relevant biological or computational field, with strong analytical, laboratory, or multi-omics skills, and a passion for advancing women's
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or very-good university degree in economics, business studies, agricultural sciences with a focus in economics, or related disciplines strong analytical and methodological skills with a focus on
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Artificial Intelligence, Stochastic Modeling and Optimization, and Data-driven Decision-making with applications in supply chain and operations management. This position offers an exciting opportunity
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DIPF | Leibniz Institute for Research and Information in Education contributes to addressing challenges in education through empirical research, digital infrastructure and knowledge transfer. At its
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. The successful PhD candidate will collaborate closely as part of an interdisciplinary team consisting of formulation scientists, microbiologists and computer scientists. As a PhD candidate at OsloMet, you will
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manufacture. The PhD candidate will gain expertise in gene therapy production as well the experimental and computational steps required to capture and analyse transcriptional data at single cell resolution
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advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and analysis of biological systems