570 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions in Austria
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qualifications and experience. APPLICATION We look forward to receiving your application. Please apply online at https://www.kl.ac.at/en/university/career-kl , quoting reference number “2605”, by 31th March 2026
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Website https://membrane-biophysics.uni-graz.at/ E-Mail enrico.semeraro@uni-graz.at STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo
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) Limited until: 30.04.2032 Reference no.: 5326 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
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/ Italian Several years of independent teaching at a post-secondary educational institution Didactic competences / experience with e-learning and in digital formats for language teaching IT user skills Very
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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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the application of these methods to problems in the physics of oxides, semiconductors, metals and their surfaces. Machine learning methods are used to close the complexity gap. Currently, the group consists
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contract until: Job ID: 5383 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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The University of Vienna is a cosmopolitan hub for almost 11,000 employees, of whom around 7,700 work in research and teaching. They want to do research and teach at a place that suits their ideas
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completion. You teach within the scope of the provisions of the collective bargaining agreement. You take on administrative tasks in research, teaching and administration and have experience in academic
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ID: 5335 Among the many good reasons to want to research and teach at the University of Vienna, there is one in particular, which has convinced around 7,500 academic staff members so far. They see