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Postdoctoral Research Associate in the Department of Computer Science with a particular emphasis on the design and performance analysis of resource allocation algorithms for entanglement distribution in quantum
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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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development practices including testing and documentation. The scientific effort will focus on the ground state, finite temperature and linear response properties of alloys, magnetic and quantum materials
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Quantum computing. Collaborate with interdisciplinary research teams to integrate AI/ML capabilities into scientific simulation, data analysis, and computational workflows. Contribute to the development and
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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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development of digital quantum algorithms for the simulation of non-abelian lattice gauge theories. We are looking for highly motivated individuals, with the desire to perform theoretical physics research