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University of Pittsburgh - Center for the Neural Basis of Cognition / Bioengineering | Pittsburgh, Pennsylvania | United States | 22 days ago
of humans, including complex learning strategies and skeletomotor control—functions that are also affected in Parkinson’s. We integrate high-density electrophysiology (e.g., Neuropixels), optical sensors
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power electronic systems. Our research addresses both fundamental and application-oriented challenges in areas such as high-efficiency and high-power-density power conversion, wide-bandgap semiconductor
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the dissertation, must be completed by the date of appointment. Demonstrated research experience with density functional theory or closely related first-principles atomistic simulation methods. Demonstrated research
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for an MRC funded project on dietary energy density reformulation, appetite and body weight. The researcher will join the Department of Psychology and be based in the Appetite & Obesity research group
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Background: The transition towards electrified automotive and aerospace transport demands electric motors with increasing power density, efficiency and operating voltage without compromising
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on computational many-body techniques, particularly Density Matrix Renormalization Group, Tensor Network, Exact Diagonalization and Monte Carlo simulations are strongly encouraged to apply. To apply, candidates
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that requires close collaboration with industry. Role In this project, York’s contribution will focus on development of xApps and rApps for the RIC to support different forms of high-density deployment, along
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Description of the offer : Project description: Spin-polarized electrons form the basis of spintronics, that has enabled ultrahigh-density magnetic memory storage and precision sensing. In addition
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 20 hours ago
of developing methods to determine lateral and vertical density variations in the Moon's crust using novel constraint techniques, as well as modeling of the Moon's deep interior. The selected candidate will work
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that estimate abundance, density, or related population measures from raw audio or acoustic detections. These approaches may use eBird observations or eBird Status products as covariates, priors, or sources