121 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of Vienna in Austria
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an international community dedicated to studying all aspects of economics. Information about the Department of Economics can be found on the website at http://econ.univie.ac.at. Your future tasks: Active
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in the field of Discrete mathematics. You can find more information about our research area and our team on our website: https://mathematik.univie.ac.at/en/research/arithmetics-algebra-and-discrete
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the field of Calculus of variations and partial differential equations. More information about our research area and about our team can be found on our homepage at: https://appliedmath.univie.ac.at/. As a
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motivation With your scientific curriculum vitae With your list of publications With a brief research statement (1-2 pages) With your Doctoral Degree Via our job portal/ Apply now - button (https
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the interactions of science, technology, and society. The department offers the English language master program 'Science, Technology, Society', as well as a number of course formats for other programs. The position
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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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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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the administration of the institute, teaching and research Requirements: Completed Master's degree (or comparable degree) in computer science, mathematics, electrical engineering, information processing or a related
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• You have a Master’s degree in industrial engineering, information systems, business administration and/or economics, computer science or a related field. • You are familiar with methods
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, and high-performance computing for biotechnological applications. The project aims to develop computational tools for bioprocess optimization, combining modeling, simulation, and data-driven methods