50 Computer-Science-"https:" "https:" "https:" "https:" positions at University of Vienna in Austria
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research in areas such as Food Chemistry and Toxicology and Functional Materials and Catalysis. Successful candidates will join a structured doctoral programme offering first-class supervision, vibrant
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Sport Please note that the project should be embedded in the German-speaking educational context. Supervisor: Maike Niehues PhD programme in Sport Science Preferred Start date: 01/11/2026 Physical
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some flexibility) About: Waning trust in science is often framed as a crisis of expertise. Yet many communities beyond institutionalized medicine produce sophisticated forms of knowledge through
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Environmental Neuroscience • Excellent command of written and spoken English and German (C1 Level) • Expertise in scientific computing with, e.g. R, Python, Matlab • Experience in science communication
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bargaining agreement: §48 VwGr. A2 Reference no.: 6003 We seek an outstanding candidate in theoretical and computational chemistry whose research lies at the interface of reactive molecular simulations and
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Vienna Doctoral School in Cognition, Behavior, and Neuroscience - Doctoral Positions (AUTUMN CALL 20
Doctoral School in Cognition, Behavior, and Neuroscience - Doctoral Positions (AUTUMN CALL 2026) Faculty of Life Sciences Job vacancy starting: 01. März 2027 | Working hours: 30 | Classification CBA: §48
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and computational chemistry whose research lies at the interface of reactive molecular simulations and data-driven modeling. The successful candidate will develop and apply data-driven methods
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of applied and computational PDEs. Current research covers a wide range of applications, including biology, materials science, and astrophysics, and uses a variety of approaches, such as stochastic processes
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, in teacher education (bachelor program and master program), in a faculties-arching master program in "Environmental Sciences", and on doctoral level. Details on the Department can be access on http
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in the development of mathematical models or numerical methods in partial differential equations, in connection with uncertainty or data science. Specific fields of interest include, but are not