427 assistant-professor-computer-"https:"-"https:"-"https:"-"https:" positions in Austria
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the EU Research Framework Programme? Not funded by a EU programme Reference Number 22900-2026-001859 Is the Job related to staff position within a Research Infrastructure? No Offer Description The world is
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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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agreement has been signed Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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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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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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) Application Deadline 12 Feb 2026 - 00:00 (UTC) Country Austria Type of Contract Temporary Job Status Full-time Hours Per Week 40 hours per week Is the job funded through the EU Research Framework Programme? Not
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Programme? Not funded by a EU programme Reference Number 231 / 2026 / 1878 Is the Job related to staff position within a Research Infrastructure? No Offer Description Your Responsibilities Participation in
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their passion and determination? We are currently seeking a/an University Assistant (prae doc) - Department of Government 49 Faculty of Social Sciences Startdate: 01.10.2026 | Working hours: 30 | Collective
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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