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technology Work in a highly motivated research group as part of an international and interdisciplinary working environment with access to outstanding computing facilities and connections to the best research
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illustrative, energy-related examples (e.g., unit commitment) have been ported onto quantum computers, the potential of QO for energy systems engineering, especially with respect to the design and operation of
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our group. We are seeking an applicant with a robust background and experience in machine learning and quantum computing to contribute meaningfully to this project Key to the success of this project
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Your Job: Quantum computing is a promising, disruptive technology for solving optimization and simulation problems which is at the heart of energy grid design and operation. As part of a large
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contribute to the advancement of large scale "in silico" simulations applied to quantum materials science. You will play a crucial role in leading the effort to enhance code scalability on European pre
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the CRC "NuMeriQS" Your Profile: Completed Master`s degree and subsequent PhD degree in physics or related field Knowledge of lattice quantum field theory Strong background in C++ Experience with
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“Revolutionizing cancer imaging through quantum technologies” (QuE-MRT). Your responsibilities: - Generation and characterization of preclinical mouse- and patient-derived in vivo models of renal and pancreatic
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calibrating quantum systems Experience with hardware interfacing programming in Python Team-oriented and highly motivated to work in an experimental laboratory A background in quantum computing as
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. Your qualifications An excellent PhD degree either in Computer Science, Physics, Mathematics or related fields, ideally with a background in quantum theory, quantum computing or quantum machine learning
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ambitious, cutting edge research towards scalable quantum computing A research track record commensurate with our ambition Our Offer: Besides the involvement in a very exciting research field, we offer