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for Microelectronics” —a physics-informed AI framework that links composition, structure, and operating conditions to defect evolution and functional performance. The successful candidates will lead experimental
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for linking disparate spin systems through photons, phonons, and other quanta to realize quantum hybrid systems, quantum sensing experiments, quantum transduction, and quantum interconnects. The project scope
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computational scientists to advance a next-generation, user-friendly, agentic AI platform for automated data analysis, interpretation, and user interactions. The appointment is expected to last two years and the
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