486 assistant-professor-computer-science-"https:"-"https:"-"https:"-"https:"-"https:" positions in Austria
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a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Medical University of Graz is looking for an University Assistant. Identification number
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and determination? We are currently seeking a/an University assistant predoctoral 56 Faculty of Mathematics Job vacancy starting: 01.07.2026 | Working hours: 30,00 | Classification CBA: §48 VwGr
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23 Mar 2026 Job Information Organisation/Company University of Graz Department Centre of European Private Law Research Field Juridical sciences Researcher Profile First Stage Researcher (R1
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training programme in Austria encompassing the three disciplines of Pharmaceutical Sciences, Nutritional Sciences and Sport Sciences and brings together about 160 doctoral candidates and 45 Principal
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. Successful candidates will join a structured doctoral programme offering first-class supervision, vibrant research networks, and opportunities to publish, teach, and engage internationally.Candidates can
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the desire to make a meaningful impact? Doctoral School of Microbiology and Environmental Science - Doctoral Positions (STEM CALL 2026) 174 Research Services and Career Development Working hours: 30
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meaningful impact? We are currently seeking a/an University Assistant postdoctoral 37 Faculty of Business, Economics and Statistics Startdate: 01.02.2026 | Working hours: 40 | Collective bargaining agreement
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7 Jan 2026 Job Information Organisation/Company Graz University of Technology Department Institute of Human-Centred Computing Research Field Computer science Researcher Profile First Stage
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16 Jan 2026 Job Information Organisation/Company University of Innsbruck Department Faculty of Biology Research Field Biological sciences » Biology Researcher Profile Recognised Researcher (R2
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assistant (praedoc), you will be part of the Computational Materials Discovery group of Professor Reinhard Maurer. This project will focus on the development of novel machine learning representations