170 high-performance-computing-"Multiple"-"Washington-University-in-St" Postdoctoral positions
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at the intersection of quantum information science and fundamental materials physics. The research program focuses on understanding the fundamental limits of spin-based quantum sensors as probes of magnetic and
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environments (i.e., indoor farming, greenhouse, and high tunnel settings). Our goal is to find sustainable solutions to pest problems in controlled environments. The postdoctoral associate will perform
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electrical engineering, automation, computer engineering, or a closely related discipline, with proven expertise in the operation and control of intelligent energy systems. Experience and skills Solid
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creating the fastest algorithms for modeling of entanglement purification circuits; creating the highest performance quantum error detection circuits; developing symbolic computer algebra systems for quantum
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experimental and numerical approaches. Materials classes of interest include components (monomers, polymers, additives, (nano)particles, etc.) utilized in high-performance polymeric materials with relevance in
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implement an integrated, data-driven digital twin of the national energy system, capable of simulating and analyzing multi-energy infrastructures (electricity, heat, gas, hydrogen) across spatial and temporal
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properties are attributed to light capture for photosynthesis and radiative heat dissipation for temperature management, whereas the role of structural leaf surface properties, such as the presence of bumps
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experimental research related to multiple ongoing projects, including optical diagnostic design and high-temperature ammonia oxidation chemistry with applications to green manufacturing and recycling of steel
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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Support Project" and the "Jiangsu 'Qinglan Project' Outstanding Young Backbone Teacher."Prof. Hu has led multiple research projects, including those funded by the National Natural Science Foundation