268 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "CNRS " positions at Zintellect in United States
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scientific excellence. Research Project: The goal of the project is to develop knowledge and readily available technology for solving quality issues associated with fruits and vegetables to reduce postharvest
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, aerobiology, synthetic biology, immunology, and regulatory science. For more information about the MRIID, please visit https://usamriid.health.mil/ About ORISE This program, administered by Oak Ridge
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-ARS Ornamental Research Program in Miami, FL. The fellow will participate in a team effort to maintain and characterize Ornamental Genetic Resources (OGRs) by discovering molecular resources using
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the guidance of a mentor, this opportunity will involve: developing and applying methods in computational biology and artificial intelligence to gather information about gene function in the legume family; using
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, neuroscience, toxicology, physiology, psychology, and immunology. For more information about the MRICD, please visit https://usamricd.health.mil. For more information about this project, please contact: Dr
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the world. For more information about the USAMRIID, please visit https://usamriid.health.mil/. About ORISE This program, administered by Oak Ridge Associated Universities (ORAU) through its contract with
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Germplasm System - https://www.ars-grin.gov/Collections#plant-germplasm . Our mission is to conserve, document, distribute, characterize, and evaluate crop germplasm for crop improvement research. Our
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affect oyster phenotypes targeted for improvement. The fellow will also gain experience using advanced computational methods to develop tools that can accurately predict desirable phenotypes. With
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initiative are encouraged, research directions will be developed in consultation with the mentor to ensure feasibility and alignment with program objectives. The successful candidate will publish research and
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across many different research communities. Computational resources are available for large-scale analyses allowing for a unique opportunity for a fellow to obtain unique training and experiences to fit