35 algorithm-phd-"Prof"-"Prof" Postdoctoral positions at Oak Ridge National Laboratory in United States
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of sparse matrix, tensor and graph algorithms on distributed and heterogenouscomputational environments. Basic Qualifications: A PhD in Computer Science, Applied Mathematics, Computational Science, or related
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training algorithms and AI architecture. Image reconstruction, segmentation, and classification. High performance computing for spatiotemporal data. Major Duties/Responsibilities: Develop foundation AI
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advanced sensing and controls algorithms for manufacturing Communicate research results through presentations, reports, conference papers, and peer-reviewed journals Deliver ORNL’s mission by aligning
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validate these distributed intelligence algorithms, enabling breakthroughs in scientific research across DOE domains. The candidate will collaborate with DOE’s SWARM project (https://swarm-workflows.org
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conditions, identification of vulnerabilities, and development of resilience enhancement strategies. Contribute to the design, development, and implementation of new models, methods, and algorithms
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computational models and systems using algorithms and analytics for materials and related physical sciences for a broad range of energy, transportation, and advanced manufacturing applications. Major Duties
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: To be eligible you must have completed a PhD in materials science, chemistry, physics, engineering, or a related field with in the last 5 years. Visa sponsorship is not available for this position
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Qualifications: A PhD in quantum science, physics, materials science, or a related field completed within the last 5 years. Previous research experience in quantum sensing, quantum photonics, cryogenic
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measure success. Basic Qualifications: A PhD in Materials Science and Engineering or a related field completed within the last 5 years Preferred Qualifications: Strong background in computational and image
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success. Basic Qualifications: PhD in energy engineering, mechanical engineering, electrical engineering, industrial engineering, or a related field completed within the last five years. A strong foundation