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Field
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at cutting-edge chemistry, physics, and materials research. Ames National Laboratory is a world leader in catalysis, polymer upcycling, separations, computational chemistry, rare earths, quantum materials
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data Experience with GIS/RS and database environments (e.g., ArcGIS and Quantum GIS) Experience with machine learning and statistical learning Experience working with large, diverse datasets Familiarity
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at a leading German university? If so, we invite you to apply! The newly established Collaborative Research Center CRC 1772 "mol2Dmat" investigates novel collective states and quantum phenomena in
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investigate the complex physics of quantum materials. We are very interested in how the charge, spin, orbital and lattice quantum degrees of freedom interact to produce novel condensed matter phases. Our team
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full-stack approach to suppressing errors in quantum hardware. This research focuses on achieving practical quantum computation by integrating techniques ranging from hardware-level noise suppression
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to lead projects aimed at developing a full-stack approach to suppressing errors in quantum hardware. This research focuses on achieving practical quantum computation by integrating techniques ranging from
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profile PhD in Mathematics, Theoretical Computer Science, Information Theory, Physics or related fields High level of mathematical maturity Experience with topics related to quantum LDPC codes and decoding
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first experiments of the future quantum-computer technology that is orders of magnitude more efficient than existing quantum processors. Join us in shaping the future! As a result of five ERC grants
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If you are passionate about quantum devices and nanofabrication, this fully funded 3-year postdoctoral position is your opportunity to join our team and drive groundbreaking advancements within
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to provide a full-time training program of advanced academic preparation and research training under the mentorship of a faculty member. Applications are welcome from all areas of theoretical physics, broadly