574 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" positions in Austria
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of machine learning What We Offer: On the basis of full-time employment (40 hours/week) the minimum salary in accordance with the collective agreement is € 5,014.30 gross per month (14 x per year, CA Job Grade
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to develop intelligent solutions in computer vision, robotics and control. We work closely with industrial and academic partners to bring cutting-edge algorithms onto real machines and into real environments
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, metals and their surfaces. Machine learning methods are used to close the complexity gap. Currently, the group consists of three full professors, one associate professor, 6 postdocs and about 15 PhD and 7
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of the oldest and biggest centers for research and education in its field. One "Prae-doc"-position (75 %, University Assistant) is available form March 6th, 2026 for 3 years. Where to apply Website https
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. The subject of the PhD should be within the areas of expertice of the laboratory for Cognitive Research in Art History ( https://crea.univie.ac.at/). Your future tasks: PhD thesis, preferably in
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based in the research group “Historical Building Research” (Head G. Styhler-Aydın) of the Department of Historical Archaeology (see https://www.oeaw.ac.at/en/oeai/research/historical-archaeology
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Politics and Social Policy Entry date: 05/08/2026 Job Reference Number: 22900-2026-001859 Job Duties: Conduct independent research in political science and pursue a doctoral project Teach in the institute's
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Austrian Academy of Sciences, The Institute for Social Anthropology (ISA) | Austria | about 1 hour ago
actively participate in project events. Support the project team in applying for a European Cooperation in Science and Technology (COST, https://www.cost.eu/ ) with the option to participate in the network
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the PhD should be within the areas of expertice of the laboratory for Cognitive Research in Art History (https://crea.univie.ac.at/). Your future tasks: PhD thesis, preferably in the area of the FWF
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the application of these methods to problems in the physics of oxides, semiconductors, metals and their surfaces. Machine learning methods are used to close the complexity gap. Currently, the group consists