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, limited to 4 years at the Research Group Data Mining and Machine Learning at the Faculty of Computer Science under the supervision of Univ.-Prof. Dipl.-Inform.Univ. Dr. Claudia Plant The Faculty
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or related fields Successful VBC PhD program Selection or similar international PhD Selection required Practical experience in single-molecule biochemistry Experience with basic bioinformatics tools High
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research and teaching in molecular simulation and computational materials discovery. Fuel cells, photovoltaic devices, photocatalytic converters – they all are crucial elements in delivering decarbonization
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skills Good computer skills Excellent command of written and spoken English Team player with high social/communicative competence Flexibility and commitment What we offer Work-life balance You have
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Bachelor's and Master's teaching, as well as in the teacher training program for Geography and Economic education. The working time of 30 hours/week includes teaching duties of, on average, 13 semester hours
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Faculty of Computer Science Job vacancy starting: 04/01/2025 | Working hours: 30,00 | Classification CBA: §48 VwGr. B1 Grundstufe (praedoc) Limited contract until: 03/31/2028 Job ID: 3620 Who we
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for results. You should already have significant programming experience. Additional knowledge in High-Performance Computing or Machine Learning is an advantage. The start date of the contract is negotiable
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for results. You should already have significant programming experience. Additional knowledge in High-Performance Computing or Machine Learning is an advantage. The start date of the contract is negotiable
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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 ideas and work together towards answering the big questions of the future. You also appreciate the...
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An der Universität Wien arbeiten über 10.000 Persönlichkeiten gemeinsam an den großen Fragen der Zukunft. Davon sind rund 7.500 wissenschaftliche Mitarbeiter*innen. Persönlichkeiten, die mit ihrer Neugier und ihrem Streben nach Exzellenz zu internationaler Spitzenforschung und Lehre beitragen....