62 computer-science-programming-languages-"the"-"U"-"UCL"-"Prof" positions at University of Vienna
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enrolment in the doctoral programme/having passed the FÖP Via our job portal/ Apply now - button If you have any questions, please contact: Daniela Hohenwarter-Mayr daniela.hohenwarter-mayr@univie.ac.at We
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Scientific Computing focuses on research in programming paradigms, languages, compilers, and software and hardware infrastructures for scientific computing to support users in the process of solving
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of Computer Science at the University of Vienna invites applications for a Tenure-Track Professorship in Human Computer Interaction The position Human Computer Interaction (HCI) explores the design, evaluation, and
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Data Stewardship program. The Faculty of Earth Sciences, Geography and Astronomy (Fakultät für Geowissenschaften, Geographie und Astronomie / FGGA) is therefore looking for a highly motivated person (m/f
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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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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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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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to the department Ph.D. program and will work on the development and analysis of statistical methods for machine learning, particularly in the context of high-dimensional models and with a particular focus on methods