12 machine-learning "https:" "https:" "https:" "https:" "U.S" PhD scholarships at UNIVERSITY OF VIENNA
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administration and organisation. We are looking for a/an University assistant predoctoral/PhD Candidate Optical Quantum Computing and Machine Learning 51 Faculty of Physics Startdate: 01.02.2026 | Working hours
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, machine learning, or (astro-)physics (in particular cosmology, galaxy formation, or general relativity) will be an advantage. What we offer: Inspiring working atmosphere: You will have the opportunity
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bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 28.02.2029 Reference no.: 4985 Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in
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(Master / PhD / Postdoc). Our expertise lies in quantum foundations, quantum information theory and quantum technologies. For additional information, please visit: https://dakic.univie.ac.at/ . Your future
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agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.01.2029 Reference no.: 4942 Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous
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teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our world. Does this sound like you? Then join our
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exchange ideas about current topics and projects in our group meetings. More information about our research areas and our team can be found on our homepage at https://schuch.univie.ac.at/ . Your future tasks
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gravitational effects on entangled photons for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing
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| Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: permanent Reference no.: 4950 Explore and teach at the University of Vienna, where more than 7,500 academics thrive
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the many good reasons to want to research and teach at the University of Vienna, there is one in particular, which has convinced around 7,500 academic staff members so far. They see themselves as