67 computational-physics-"https:"-"https:"-"https:"-"https:"-"BioData" positions at University of Vienna
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of gravity through analytically rigorous, conceptually driven, or high-precision computational approaches. Expertise and research profiles are welcome in one or more areas of theoretical gravitational physics
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pursuing doctoral research in one of the 50 research teams in the Faculty of Physics. Successful candidates will join a structured doctoral programme offering first-class supervision, vibrant research
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to make a meaningful impact? UniVie Doctoral School Computer Science DoCS - Doctoral Positions (STEM CALL 2026) Research Services and Career Development Job vacancy starting: | Working hours: 30
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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 Job vacancy starting: 01.02.2026 (MM-DD
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to make a meaningful impact? Mathematics & Computer Science - Postdoc Fellows E-STEEM Call 2026 Research Services and Career Development Job vacancy starting: 01. Oktober 2026 | Working hours: 40
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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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tasks in research, teaching and administration. This is part of your personality: Completed Master's degree or Diploma in Chemistry, Physics, Computational Science or a related field Good knowledge
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, MICADO and METIS. Our group develops and maintains custom-written software that will simulate, process, validate, and store data from some of the most advanced astronomical instruments ever to be built
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for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing and quantum cybersecurity applications? Can
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. The second focuses on resource allocation among competing alternatives. Specifically, he studies how organizational features, such as the structure of the decision-making process and the composition