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(praedoc) Limited until: 31.10.2030 Reference no.: 6067 Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better
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agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 14.09.2032 Reference no.: 6013 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom
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(postdoc) Reference no.: 6036 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate about
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-driven modeling. The successful candidate will develop and apply data-driven methods for chemical discovery and molecular design. These methods include machine-learned interatomic potentials, data
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good knowledge of English (C1 or higher) Experience with 3D printing and CAD programs Advanced computer/IT skills (troubleshooting, Windows administration etc.) Reliable, regular presence in
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, i.e. providing, maintaining and documenting Python and R code for further use in AMDC projects, using modern data science methods and machine learning approaches Documenting data preparation processes
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and public health Psychology and behavioral science Artificial intelligence, machine learning, and data science Clinical and biomedical research You will have access to state‑of‑the‑art analytical
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international refereed publications Willingness to contribute to research management, leading small teams and guiding project assistants Computer literacy and GIS knowledge Modelling experience in spatio-temporal
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current research focuses on Software Protection, Machine Learning/AI und Security und Security and Privacy of Decentralized Systems and Distributed Ledger Technologies. In the long term, we focus
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independently and in a team A focus of research in one of the following areas is desirable: Language ideologies Literacy development Digital practices Coding and/or machine learning We further expect you to have