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) to manage the Oak Ridge Institute for Science and Education (ORISE), was established through an interagency agreement between DOE and ARS. Participants do not become employees of USDA, ARS, DOE or the program
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models, and clinical cohorts to uncover mechanisms by which early-life gut microbial metabolism shapes host immunity. We welcome applicants with backgrounds in computational biology, molecular microbiology
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brief description of past research accomplishments and future research goals, a current CV, and contact information for three references. Basic Qualifications Ph.D. in biology, computational and data
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Lawrence Berkeley National Laboratory - Physics | Berkeley, California | United States | about 8 hours ago
), quantum information science (sensing and simulations), and artificial intelligence/machine learning. Research areas highlighted for 2026 include ATLAS, rare event searches with quantum sensors, DUNE
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for program participation. ORISE Information: This program, administered by ORAU through its contract with the U.S. Department of Energy (DOE) to manage the Oak Ridge Institute for Science and Education (ORISE
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Computer Science, Mathematics, Physics, Applied Economics, or a related quantitative field. Skills and Knowledge: Knowledge of scientific computing, data assimilation, and machine learning frameworks. Proficiency in
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structural engineering or mechanical engineering, received no later than 6 years before the initial appointment. Strong expertise in programming for approaches including, computational mechanics, finite
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work on both probabilistic modeling, software development, and cancer biology analysis for this position. PhD in computer science, computational biology, or related quantitative field. Strong oral and
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cell or drug therapies. We are interested in recruiting bioinformatics research fellow with training in computational biology or biostatistics. relatstatistics, mathematics, or a related field.statistics
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mechanisms linking cardiovascular diseases with cancer and cancer therapies. She uses human-induced pluripotent stem cells (iPSCs), patient-derived samples, genomics, and computational biology to identify