97 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" Fellowship positions at Zintellect in United States
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, allowing the researcher to refine their communication and collaborative skills while exploring the frontiers of molecular plant-microbe symbiont technology. Throughout the duration of the program, the
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availability, project assignment, program rules, and availability of the participant. What are the provisions? You will receive a stipend to be determined by AFRL Stipends are typically based on a participant’s
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. Minimum Overall GPA: 2.80 Discipline(s): Business (2 ) Chemistry and Materials Sciences (12 ) Computer, Information, and Data Sciences (17 ) Earth and Geosciences (21 ) Engineering (29
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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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300 species. https://www.ars.usda.gov/northeast-area/geneva-ny/plant-genetic-resources-unit-pgru/docs/about-pgru/ Research Project: Participants will have the opportunity to explore genetic variation
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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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are seeking postdoctoral fellow(s) to learn about the engineering or development of chemical/biological detection methods; discovery and repurposing of natural bioactive compounds for pest management; or in
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world-class science, technology and land management. Research Project: Low-grade logs and biomass from fuel treatments and forest restoration can be used for a wide variety of products, including lumber
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, including data preprocessing, feature engineering, and preparation of datasets for robust model training and validation. Experience with computational and statistical analysis in Python and R. Familiarity