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Field
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Deploy, commission, and operate TES X-ray microcalorimeter spectrometers at APS beamlines, including cryostat integration, beamline interfaces, alignment, and stability optimization. Perform pathfinding
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(training provided). Design and optimize protocols for new biophysical assays to address complex cancer biology questions.– Example project: Science, 2023 Writing and submitting NIH training grants, including
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, and optimize biomass pyrolysis/gasification reactors for clean energy production. Process Optimization: Investigate reactor parameters, feedstock behavior, and thermodynamics to enhance yield
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optimization, and application-driven performance analysis for HPC, scientific Artificial Intelligence (AI), and scientific edge computing. We are a leader in computational and computer science, with signature
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data like site browsing preferences Personal data like your IP address and location Site Optimization When enabled, you allow us to monitor your behavior so we can analyze and improve the services on our
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that advances the development of AI-ready scientific data, optimized workflows, and distributed intelligence across the computing continuum. In this role, you will have the opportunity to lead and contribute
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analyses • Lead genomic, metagenomic, and comparative genomic analyses using existing or newly-generated datasets • Develop and optimize laboratory protocols (if applicable) and help train and mentor new lab
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on the ONR Project “Optimal Transport-based Strategies in Waves and Dynamics” led by Prof. Christina Frederick at NJIT. Essential functions will include research into optimal transport theory to capture
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
optimize therapeutic strategies, and (2) developing AI-powered analytical platforms to support patient-centered biomedical research. Current projects involve building computational frameworks for multi-omics
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supercomputer, the world's first exascale computing system. This is a unique opportunity to engage in transformational research that advances the development of AI-ready scientific data, optimized workflows, and