20 post-doc-in-wireless-communication-and-networks-2016 Postdoctoral positions in Austria
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- University of Vienna
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- mdw - University of Music and Performing Arts Vienna
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | about 2 hours ago
FieldMedical sciences » Veterinary medicine Additional Information Additional comments Career Stage: Experienced Researcher (Post-Doc) Research Profile: Recognised Researcher (R2) Only the German version
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Post Doc 1 1 52 Faculty of Chemistry Job vacancy starting: 01.10.2025 | Working hours: 40,00 | Classification CBA: §48 VwGr. B1 lit. b (postdoc) Limited contract until: 30.09.2027 Job ID: 4564
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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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in accordance with the guidelines of the FWF and the mdw. Salary: According to the collective bargaining agreement, the monthly gross salary for the post-doc positions is € 3.699,68 (14 times). Where
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communities in this regard. Besides the praedoc position, the project includes two post-doctoral researchers in addition to the PI. As a whole, the research team is committed to a fruitful interdisciplinary
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impact? We are currently seeking a/an University Assistant Post-Doc at the Department of Numismatics and Montary History 40 Faculty of Historical and Cultural Studies Job vacancy starting: 09/01/2025 (MM
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, Austria [map ] Subject Area: Optimization and Optimal Control Appl Deadline: (posted 2025/04/17, listed until 2025/07/01) Position Description: Apply Position Description As a central non-university
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salary for a post-doctoral position is € 4.932.90 (14 times/ year). Where to apply Website https://www.mdw.ac.at/bewerbungsportal/ Requirements Research FieldArts » OtherEducation LevelPhD or equivalent
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. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 08/23/2025 Post Doc
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Models for Multi-Modal Reasoning This project explores the integration of graph-based foundation models (e.g., knowledge graphs) with large language models (LLMs) to build AI systems capable of reasoning