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of progress in relevant fields and contribute to CNM and the broader user community through method development, best practices, and mentoring Support end-users with high performance computing and workflow needs
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scalability studies to identify and improve bottlenecks in large codes. Experience in development of data-driven reduced-order models in one or more of these areas: turbulence, boundary layer flows, combustion
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development and web-based applications, back-end services and API design (e.g., FastAPI, Flask), and deploying applications in local or cloud environments. Experience working with large-scale datasets
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tool development. Application Procedure: Interested candidates should submit: A detailed CV A cover letter describing your research experience and interests. GitHub profile (if available) Job Family
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design, development of supervisory control logic, validation of vehicle models against test data etc. The projects and interests of this group span all modes of transportation including off-road, rail
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Research Development (RD) Job Profile Materials/Ceramics/Metallurgical 3 Worker Type Regular Time Type Full time The expected hiring range for this position is $116,250.00 - $181,350.00. Please note that the
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, machine learning, and control in the energy sector. The postdoc researcher will perform theoretical study and algorithm development on optimization/control/data analytics methods and authorize peer-reviewed
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have a strong background in fundamental electrochemistry, with preferable hands-on expertise in computational materials science. The applicant should be well versed in code development, application of AI
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-generation nuclear science experiments at Jefferson Lab and the Electron-Ion Collider (EIC). As part of our growing multidisciplinary team, you will contribute to the development of superconducting nanowire
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We are seeking a highly motivated Postdoctoral Appointee with a strong background in artificial intelligence and machine learning (AI/ML), with particular emphasis on the development and application