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for new physics and performance studies. Candidates with experience in modern AI/ML methods—such as transformer architectures, tokenization strategies, and embeddings—are especially encouraged to apply
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with quantum embedding approaches, with a particular emphasis on methods tailored to study nonequilibrium quantum many-body systems. These algorithms will be applied to investigate the physics
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Requisition Id 15358 Overview: Oak Ridge National Laboratory (ORNL) is seeking an ambitious postdoctoral scientist with keen interest in artificial intelligence (AI) / machine learning (ML) and
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modeling, control, and optimization of power and energy systems with applications to maritime and coastal infrastructures (e.g., shipboard microgrids, port facilities, islanded communities, desalination
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contribute to impactful health policy and aging research. This position is embedded within a federally funded mixed-methods study examining the effects of the Paycheck Protection Program (PPP) on staffing
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, researchers, visiting fellows, and graduate students who combine interdisciplinary interests in the everyday experiences of agroecology, political ecology of food systems, and critical social science
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/t23.pdf . A reasonable estimate for this position is between $75,000 and $85,000. Percent time: 100% Anticipated start: October 2025 Position duration: Two years with the possibility of renewal
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School of Medicine Established in 1930, Duke University School of Medicine is the youngest of the nation's top medical schools. Ranked sixth among medical schools in the nation, the School takes
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systems for quantum computing which includes contributions to the advancement of the control systems, including hardware, FPGA gateware, embedded firmware and control software, for the Advanced Quantum
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contributions to the advancement of the control systems, including hardware, FPGA gateware, embedded firmware and control software, for the Advanced Quantum Testbed (AQT) project and the Quantum System