223 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" positions in Austria
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- University of Vienna
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- Austrian Academy of Sciences, The Institute for Quantum Optics and Quantum Information Vienna IQOQIVIE
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Univ.- Prof. Dr. Philip Walther, is part of the Quantum Optics, Quantum Nanophysics & Quantum Information group at the Faculty of Physics and member of the Vienna Center for Quantum Science and
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expertise in high-performance computing, artificial intelligence, and data ecosystems, creating an interdisciplinary innovation environment for research, development, start-ups, and industrial projects. AI:AT
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group. You collect and analyze data, and cooperate on scientific publications. You hold courses in Sport Psychology (teaching load: 2 SWS) and help with supervising student theses. You are involved in
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achievement (at least in the field of civil and commercial law) Excellent computer skills (MS-Office) Experience in working with legal databases Very good written and spoken German language skills Very good
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group. You collect and analyze data, and cooperate on scientific publications. You hold courses in Sport Psychology (teaching load: 2 SWS) and help with supervising student theses. You are involved in
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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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: §48 VwGr. B1 lit. b (postdoc) Limited until: 31.12.2029 Reference no.: 4921 We are a team of researchers using operational and information-theoretic tools to gain insights into quantum foundations
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develop novel methods e.g. for the calibration of in-situ aerosol cloud probes including a droplet generator, and analyze data from airborne and ground-based field experiments. You will independently teach
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. b (postdoc) Limited contract until: 31.12.2029 Job ID: 4921 We are a team of researchers using operational and information-theoretic tools to gain insights into quantum foundations, causality, and
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research management and in leading project staff • Didactic skills / experience in e-learning • IT skills and excellent MS Office skills, dat • Knowledge of: mass spectrometry and analysis of complex data