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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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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 13 hours ago
equivalent doctorate (e.g., Sc.D., M.D.) Departmental Preferred Experience, Skills, Training/Education: Ph.D. in Political Science, Economics, Public Policy, Geography, or a closely related Computational or
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functions, predictive models or quantum chemistry Machine learning or AI frameworks applied to molecular discovery. Familiarity with cloud or high-performance computing environments. Experience collaborating
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and quantum information science; You have performed low temperature electrical transport measurements and data analysis. You work effectively in a collaborative team to tackle challenging scientific
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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management, and engage directly with stakeholders and policymakers, including the New England Fishery Management Council (NEFMC). This position provides the opportunity to conduct high-impact research
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for state-of-the-art high performance computing architectures. Study the dynamics and properties of lattice models of nonequilibrium quantum materials using innovative computational techniques. Collaborate
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, sequencing library preparation). Experience with analyzing microbiome data and/or analyzing sequencing data in a high-performance computing environment. Experience in BSL2 laboratory and familiarity with
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Number: 6693543 Postdoctoral Employee - Physics/Astrophysics - Physics Department Position overview Salary range: The UC postdoc salary scales set the minimum pay determined by experience level at
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research experience in water-limited ecosystems. Work will focus on the physiological functioning of water-limited plants and ecosystems under intensifying hydroclimate extremes. The successful candidate