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information science) as well as applied sciences utilizing quantum computers. (6) Integration of information theory, mathematical modeling and machine learning and their application to medical science problems
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technologies, such as quantum- and nanotechnology, photonics, biotechnology, synthetic biology and materials for energy storage and conversion, our faculty aims to provide solutions to important problems
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electron microscopy experiments, including STEM, TEM, and related characterization techniques, to investigate the structure–property relationships of energy and quantum materials. 2) Perform advanced data
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platform for X-ray absorption spectroscopy by integrating LLMs, scientific machine learning, physics-aware workflows, and strong computational chemistry/electronic-structure expertise. The researcher will
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Positions in Condensed Matter Theory at Harvard University The Quantum Condensed Matter Theory groups, led by Professors Eslam Khalaf, Mikhail Lukin, Subir Sachdev, Ashvin Vishwanath, Norman Yao, Susanne
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of using existing and emerging grid assets to ensure grid reliability and affordability of energy supplies. The group focuses on advanced grid modeling using advanced computing resources (e.g., quantum
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in the operation of the world’s most sensitive interferometers, and/or the R&D program for future detector improvements. Examples include optimizing the squeezing of the vacuum to minimize quantum
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with other members of the string theory group, including Eran Palti, Michael Lublinsky, and Ram Brustein. Research interests relevant to the position include quantum field theory, gravity, holography
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Description of the offer : We are seeking to recruit a number of PhD and postdocs working on the theory of magnetism, spintronics and their interface with quantum information science. The PhD
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and superfluidity, fermion quadrupling condensate, magnetism, ferroelectrics, classical and quantum phase transitions, ultracold atoms, structure formation in soft matter, topological solitons, vortex