39 computer-vision-and-machine-learning Postdoctoral positions at UNIVERSITY OF VIENNA
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computing, computer architecture, programming models and high performance computing. These are your qualifications: Must-haves: Completed doctoral/PhD studies in Computer Science or a closely related field
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39 Faculty of Computer Science Startdate: 01.10.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 30.09.2030 Reference no.: 4628 Explore and
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., knowledge representation and reasoning) and bottom-up (e.g., machine learning) methods to study the representation of geographic categories and processes. While we welcome applicants from a broad range of
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future tasks: Active participation in research, teaching & administration, which means: You plan and conduct your own research projects in the field of computer-assisted drug design. You publish your
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of the Faculty of Computer Science of the University of Vienna. This group is distinguished by excellent research in Visualization and Data Science, as well as applied research in Human-Computer Interaction and
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activities; High level of written and oral communication skills; Very good written and spoken English; Computer skills; Ability to work in a team; What we offer: Work-life balance: Our employees enjoy flexible
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group (https://theochem.univie.ac.at/ ) at the Institute of Theoretical Chemistry aims at understanding chemical phenomena using contemporary computational and theoretical methods. We employ and extend ab
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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 groundbreaking international research
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philosophy of computing/LLMs/AI Excellent knowledge of English (C1) and ability to teach in German You are a team player and have good communication skills What we offer: Work-life balance: Our employees enjoy
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, and you will join the research group led by Prof. Christa Cuchiero to work at the intersection of Mathematical Finance, Stochastic Analysis and Machine Learning. The research areas cover a wide range of