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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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: • 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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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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Faculty of Business, Economics and Statistics Job vacancy starting: undefined..undefined | Working hours: 30,00 | Classification CBA: §48 VwGr. B1 Grundstufe (praedoc) Limited contract until: Job ID
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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 Department is very well connected with the international scholarly community. The Department is also part of the Austrian Science Fund Cluster of Excellence "EurAsian Transformations" and hosts both the Center
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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
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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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background in computational chemistry, theoretical condensed matter physics, computer science, or a similar field. You love working on hard problems that live at the boundary of theoretical method and