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. M.Sc. in Business or Adjacent disciplines such as economics, psychology, engineering or computer sciences: e.g. M.Sc. in economics, M.Sc. in industrial engineering, M.Sc. in information management, M.Sc
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research activities in the field of applied and computational PDEs in a coherent manner. Current research covers a wide range of applications, including biology, materials science, and astrophysics, and uses
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, cognitive science, neuroscience, computer science, engineering, and physics. The focus of our research is to develop new neurotechnologies and Al tools to better understand psychological phenomena and to
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reconstitute complex biological systems across different scales. Candidates should have a proven track record in biology, biophysics, or computational science. Your research proposal should be original and
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better understand our world. Does this sound like you? Then join our accomplished team! Your personal sphere of influence: The Computational and Soft Matter Physics Group at the Faculty of Physics invites
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: • Merging computer science and qualitative and quantitative social science methods, you explore the conceptual data models that underpin different infrastructures and how this affects data discovery, use and
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of Business, Economics and Statistics at the University of Vienna invites applications for a Tenure-Track Professorship in Computational Statistics and Data Analysis The position We welcome applications from
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Successful candidates will develop Digital and Computational Methods for Historical Source Analysis and Edition with a focus on the Modern Period. They will work on new developments in computer science and
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the faculty’s ongoing research activities in the field of applied and computational PDEs in a coherent manner. Current research covers a wide range of applications, including biology, materials science, and
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personality: A completed Master's degree in Data Science, Physics, Chemistry, Computational Biology, Bioinformatics, or a related field. Strong programming skills in Python, R, or similar languages. Experience