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to measurements and benchmarking services for external partners. This includes performing characterization of sensor devices developed by collaborators, supporting QSTeM’s mission as a reliable and high-performance
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of stochastic programming problems used in power system operations under uncertainty in conjunction with classical high-performance computing. Interesting directions for this project include, but are not limited
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appointment, available starting immediately, with the possibility of renewal contingent upon available work, satisfactory performance and continued funding. Anticipated Division of Time • Characterize
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instrumentation for the nanoscale analysis of catalytic and energy-related nanomaterials, supporting the development of high-performance materials for green hydrogen production and energy storage. • Perform
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Applicants must have a PhD or foreign equivalent degree in quantum information science, high-energy physics, nuclear physics or computer science, broadly defined, by the date of appointment. Instructions
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, particularly of non-model organisms Computer programming and experience with the solution of numerical problems, machine vision, and analysis of next-generation sequencing data High-throughput screening
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working in Linux and/or high-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data-driven approaches will be critical. In addition
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any of the following areas is desirable Collection and analysis of dense nodal seismic datasets Numerical simulations of the seismic wavefield High-performance computing Machine learning applications in
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generated from coastal diatom bloom. Utilize high-performance computing to process raw transcript data, conduct functional and taxonomic identification of contigs and perform statistical hypothesis testing
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quantum simulations for quantum computing using classical computers. We are also interested in quantum-classical hybrid systems for future high performance computing. 〈Keywords〉 Natural Science