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models to evaluate therapeutic efficacy and pharmacokinetic profiles. Gaining exposure to cutting-edge transcriptomic, proteomic, and "imageomic" (high-content image informatics) datasets, as
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, computational, and immunological tools within an ABSL-2 laboratory environment. You will be mentored in research methodologies aligned with the USDA–ARS mission in animal health and infectious disease. You will
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months. Preferred Skills: A background in computer and/or data science with some experience in machine learning, multivariate statistical analysis, artificial intelligence, or computer programming. Some
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, or cellular biology). Degree must have been received within the past five years. Equal consideration will also be given to those with a doctoral degree in chemical biology, chemical computing, computational
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on combinations of biology, chemistry, biochemistry, molecular biology, and plant physiology. This research will include growing transgenic, hybrid, and/or commercially relevant crops for conducting pathogenic
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program that includes chemists, geneticists, and plant physiologists. Over the course of this opportunity, you will develop a thorough understanding of cotton breeding, oilseed engineering, genome editing
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and soil assessment, hydrologic monitoring, remote sensing, GIS applications, and processed-based model calibration. The program is designed to develop you into an independent researcher capable
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contingent on the availability of funds. Level of Participation: The appointment is full time. Citizenship Requirements: This opportunity is available to U.S. citizens only. ORISE Information: This program
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Participation: The appointment is full time. Citizenship Requirements: This opportunity is available to U.S. citizens only. ORISE Information: This program, administered by ORAU through its contract with the U.S
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Location: A research opportunity is currently available with the Division of Regulatory Science and Compliance (DRSC), within the Office of Readiness and Response (ORR) at the Centers for Disease Control and