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Field
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necessary; prepares and distributes study packets and information. Performs other duties as assigned. Working Conditions: Job Location/Working Conditions: Normal office environment. Physical Effort: Typically
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Posting Details Position Information Posting Number SRGV8442 Working Title POSTDOCTORAL FELLOW Number of Vacancies 1 Location Edinburg, Texas Department College of Engineering and Computer
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development, and disseminate results at conferences. This position will work Monday-Friday with weekends as needed. Expected distribution of duties includes: ● 75%: Laboratory benchwork ● 25%: Data analysis
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networks Managing scientific data and workflows in distributed environments Qualifications: Requires a Ph.D. in computer science, mathematics, computational science, or related discipline. Candidates must
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to control and manage next-generation networks Managing scientific data and workflows in distributed environments Qualifications: Requires a Ph.D. in computer science, mathematics, computational science, or
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, questionnaires, diagnostic tests and other sources; performs basic evaluation and interpretation of collected data and prepares appropriate reports and documentation as necessary; prepares and distributes study
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and work together to train models, architect systems, and run trading strategies. We work with petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster
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-mentor relationship Prompt disclosure to the mentor regarding the possession and desire to distribute materials, reagents, software, and copyrightable and potentially patentable discoveries derived from
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. Preferred Experience Three (3) or more years of clinical experience as an occupational therapist. Equipment Use of personal computer and proficiency in software and research statistical applications. Working
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management machine learning, distributed computing, and resource optimization leveraging the unique computational resources available at ORNL, including the Frontier supercomputer—the world's first exascale