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and integrative methods combining high-resolution imaging, functional genomics, single-molecule biophysics, and computational modelling Candidates should have a proven track record in biology
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no.: 4891 The Vienna Graduate School of Economics (VGSE) is located at the University of Vienna and is part of the Oskar Morgenstern Doctoral School (OMDS). The VGSE offers a broad three-year PhD program in
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, and high-performance computing for biotechnological applications. The project aims to develop computational tools for bioprocess optimization, combining modeling, simulation, and data-driven methods
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record in in situ cryo-ET, complemented by expertise in sample preparation, image analysis, and/or integrative modelling. The successful candidate will develop and lead an independent research programme
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background in computational astrophysics and software development. The job consists of two equally important parts: 1) to contribute to the research in the area of atmospheric evolution with the focus
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group (https://theochem.univie.ac.at/ ) at the Institute of Theoretical Chemistry aims at understanding chemical phenomena using contemporary computational and theoretical methods. We employ and extend ab
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quality assurance. You supervise students. This is part of your personality: Completed PhD in psychology, behavioral science, human-computer interaction, public health, or a related field. Quantitative
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economics, psychology, engineering or computer sciences: e.g. M.Sc. in economics, M.Sc. in industrial engineering, M.Sc. in information management, M.Sc. in psychology Independent of their background, all
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should not have a research focus in food technology/processing or nutritional sciences. In teaching, the position will contribute to different study programs, inter alia the Master’s program in Food
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under the Key Research Area “Computational Mathematics and Data Science” (https://mathematik.univie.ac.at/forschung/computational-mathematics-and-data-science-comada/ ). Within this focus area, there is