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of Innsbruck, is looking for a PhD student to conduct theory-driven empirical and/or experimental research at the intersection of International Management and Global Strategy. Your tasks: Independent research in
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quality of work is also quality of life. We are looking for support at the Institute for Statistics and Mathematics Part-time, 30 hours/week Starting October 27, 2025, and limited until September 30, 2028
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Job description: At the University of Vienna more than 10,000 personalities work together towards answering the big questions of the future. Around 7,500 of them do research and teaching, around
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At the University of Vienna more than 10,000 personalities work together towards answering the big questions of the future. Around 7,500 of them do research and teaching, around 2,900 work in
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Information Theory team led by Professor Časlav Brukner. Your work will focus on research at the interface of quantum foundations, quantum information theory, and space-time physics. Our research addresses key
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Information Theory team led by Professor Časlav Brukner. Your work will focus on research at the interface of quantum foundations, quantum information theory, and space-time physics. Our research addresses key
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the areas of machine learning, natural language processing and data science Very good knowledge of English Knowledge of German desirable Very good communication skills and the ability to work carefully in a
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conferences and congresses, further education Administrative tasks Your profile: Essential: completed Master's degree, expertise in basic and advanced quantum theory, basic knowledge of scientific programming
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conferences and congresses, further education Administrative tasks Your profile: Essential: completed Master's degree, expertise in basic and advanced quantum theory, basic knowledge of scientific programming
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Research: Visual Exploration and AI Prediction Modeling of Real-Life, Multi-Modal Data” as a PhD-Position in machine learning. You will work alongside leading experts at the Computational Imaging Research