51 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Univ"-"Univ" positions at UNIVERSITY OF VIENNA in United Kingdom
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bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 30.04.2029 Reference no.: 5311 Your responsibilities: As a University assistant, you will contribute to the work group Machine Learning
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administration and organisation. We are looking for a/an University assistant predoctoral/PhD Candidate Optical Quantum Computing and Machine Learning 51 Faculty of Physics Startdate: 01.02.2026 | Working hours
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Expertise in one of the following areas applied to sports and/or human movement science: Computer Vision Match & Performance Analysis Machine Learning Ubiquitous Computing Virtual Reality Teaching experience
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tackling such challenging systems. With the emergence of machine learning methods in the physical sciences, things are rapidly changing. This project is part of a large initiative that aims to tackle
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tackling such challenging systems. With the emergence of machine learning methods in the physical sciences, things are rapidly changing. This project is part of a large initiative that aims to tackle
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and/or Drishti software packages for reconstructing CT data. Basic knowledge about machine learning is of advantage. Very good English skills. High motivation to strive for scientific excellence and to
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within the North-East Network, future teachers are prepared for the changing needs of a modern school and are enabled to contribute to shaping the learning and living environment of schools on the basis
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Scientist 52 Faculty of Chemistry Startdate: 09.05.2026 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 08.05.2027 Reference no.: 5452 Explore and teach
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The University of Vienna is a cosmopolitan hub for more than 10,000 employees, of whom around 7,500 work in research and teaching. They want to do research and teach at a place that suits their
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teachers are prepared for the changing needs of a modern school and are enabled to contribute to shaping the learning and living environment of schools on the basis of scientific expertise. Your workplace