107 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at UNIVERSITY OF VIENNA
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to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 12/10/2025 Reference no.: 4898 Tenure Track Professorships https
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research statement (1-2 pages) With your Doctoral Degree Via our job portal / Apply now - button (https://jobs.univie.ac.at , reference number 4662) Applicants should arrange two reference letters to be sent
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. More information about our research area and about our team can be found on our homepage at: https://appliedmath.univie.ac.at/ . As a team, we understand the importance of a positive, inclusive, and
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with a strong interdisciplinary orientation that analyses the interactions of science, technology, and society. The department offers the English language master program 'Science, Technology, Society
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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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gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing and quantum cybersecurity applications? Can we scale-up multiphoton platforms by using integrated
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(or comparable degree) in computer science, mathematics, electrical engineering, information processing or a related field High analytical skills Experience in the field of interdisciplinary research High level of
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, teaching and research Requirements: Completed Master's degree (or comparable degree) in computer science, mathematics, electrical engineering, information processing or a related field High analytical skills
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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