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5 Sep 2025 Job Information Organisation/Company University of Klagenfurt Department Department of Economics - Microeconomics and Game Theory Research Field Economics » Microeconomics Researcher
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or equivalent Skills/Qualifications Fundamental knowledge in the field of transdisciplinary gender studies with one of the following focus areas: theater/performance, film and/or music, aesthetics, political
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at ISTA is advertising a postdoctoral position starting September 2026. The focus of the research group is geometric representation theory, algebraic geometry, topology and integrable systems. The position
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(R2) Positions Other Positions Country Austria Application Deadline 7 Oct 2025 - 23:59 (Europe/Brussels) Type of Contract Temporary Job Status Part-time Hours Per Week 20 Offer Starting Date 1 Dec 2025
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Job description: The University of Vienna is a cosmopolitan hub for more than 10,000 individuals, of whom around 7,500 work in research and teaching. We are currently looking for a/an University
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The University of Vienna is a cosmopolitan hub for more than 10,000 individuals, of whom around 7,500 work in research and teaching. We are currently looking for a/an University Assistant (Post-doc
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neural networks under symmetry constraints, their optimization dynamics, and their generalization behavior—particularly in low-data or out-of-distribution settings. The work combines formal theoretical
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the the Erich Schmid Institute of Materials Science of the Austrian Academy of Sciences (ÖAW) | Austria | 2 days ago
Postdoc (f/m/x) (40 hours per week) with an emphasis on transmission electron microscopy (TEM) and Focused Ion Beam (Ga and Xe FIB) sample preparation. Academy Scientists (Post-docs) generally work to the
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | about 14 hours ago
subjects; •PhD, Dr. rer nat. in one of these subjects; •Publications in peer-reviewed journals since several years;•Successful acquisition of competitive funds;•Laboratory work experience in the area of
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the adaptability, efficiency, robustness, and scalability of next-generation networks. While deep neural networks tailored for specific tasks have shown strong performance, advances in fields such as natural