151 computational-physics-"https:"-"https:"-"https:"-"https:"-"U.S" positions in Austria
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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 we
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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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Computational Materials Physics. PhD students in the group acquire important transferable skills such as software development and project management. You will present your research at international and national
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research group Computational Materials Physics, and the Centre of Excellence on Materials for Energy Conversion and Storage (MECS CoE). PhD students in the group acquire important transferable skills such as
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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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and interdisciplinary research group that provides a collaborative and supportive environment. Our team is member of the Vienna Doctoral School in Physics and the faculty research group Computational
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, international and interdisciplinary research group that provides a collaborative and supportive environment. Our team is a member of the Vienna Doctoral School in Physics, the faculty research group Computational
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abroad Your profile: Master’s degree (or comparable degree) in Computer Science, Data Science, Physics, Computational Science, or electrical engineering Excellent academic achievements, with initial
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your personality: • You have completed your Master's degree or Diploma in physics; an additional diploma in computational science is of advantage. • You have experience in academic writing. • You should
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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