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. Qualifications Required Qualifications: Completed PhD in biomedical engineering, electrical engineering, physics, or a medical imaging related field. Experience with developing advanced pulse sequences
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for transmission or distribution grids, synchronous generators, large loads, transmission networks, etc. Develop simulation algorithms that enable large-scale simulations. Integrate (or co-simulate) grid component
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. Proficient with running machine learning algorithms (e.g., Random Forest, CART) and regression models (e.g., SAR, LME) to derive ecological insights from big data sets. Experience developing reproducible and
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limited to artificial intelligence, computing theory (algorithms, complexity), data science, statistics, discrete mathematics (graph theory, combinatorics), game theory, machine learning, optimization
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
. * Developing computational and algorithmic approaches to understanding the neurobiological mechanism of neurodisorders. * Interact cross-functionally: work with people across the team to find creative solutions
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 14 days ago
. * Developing computational and algorithmic approaches to understanding the neurobiological mechanism of neurodisorders. * Interact cross-functionally: work with people across the team to find creative solutions
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Astronomical Software Development. Excited by the prospect of leading and participating in early science with Rubin Observatory and the Legacy Survey of Space and Time (LSST; http://lsst.org ). Enthusiastic
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candidate who will support the development, implementation, and evaluation of methane and NH3 modeling and enhancement from livestock animals and manure housing and management in small farms or watersheds
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The Energy Systems and Infrastructure Assessment (ESIA) division at Argonne provides the rationale for decision makers to improve energy efficiency. ESIA develops and uses analytic tools to help
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large arrays are individually controlled, interrogated, and even entangled with other atoms. We seek to leverage the many-fold technical QIS advances to develop new algorithms for optical clocks as