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Field
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. Additional skills for Image Science: Programming, careful data analysis, high-performance computing, shell scripting (c, bash), medical imaging Candidates with a recent PhD or those anticipating Ph.D. (all
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multidisciplinary team, the Postdoctoral Appointee will work at the intersection of AI/ML, climate science, and high-performance computing. The candidate will develop LLMs specifically designed to understand, process
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will also be involved in different projects (e.g. USDA--soil health/microbiome, and funded NASA program). The major tasks will include but are not limited: 1. USDA--soil health/microbiome Perform soil
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diverse set of scientists working at the ORNL’s neutron scattering and high-performance computing facilities. Desirable skills include expertise in biological structure determination and in biophysical
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. Therefore, this position is contingent upon continuation of funding from these grants and/or contracts, as well as satisfactory job performance. What You Need to Do Apply! Applicants are encouraged to upload
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 1 month ago
to artificial intelligence and machine learning, quantum information and sensing technologies, high-performance computing, communications technologies, semiconductors and microelectronics, biotechnology
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may be required. Operating motor vehicle equipment (position is required to drive). Occasional travel may be required. Working with high stress situations. Work performed in indoor and outdoor
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response Demonstrated expertise in process development/optimization for macro-scale deformation in AM Experience with multi-physics simulations on high performance computing (HPC) and maching learning (ML
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Postdoctoral Fellowship Program, and ongoing support for Carnegie Bosch Chaired Professorships. Carnegie Bosch Fellowships are two-year awards supporting outstanding postdoctoral researchers conducting high
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such as PyTorch and TensorFlow. Experience with high-performance computing and/or scientific workflow. Strong background in inverse problems, numerical optimization and image processing. Job Family