18 high-performance-computing-postdoc Postdoctoral positions at Zintellect in United States
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leading research facility dedicated to advancing animal health, food safety, and infectious disease research. The Ruminant Diseases and Immunology Research Unit conducts research on high-impact ruminant
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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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to perform literature reviews on biological agents and toxins Learning how to collect and analyze program data Understanding how to develop training materials for inspectors Understanding how to engage with
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amongst relatively high numbers of background flora. In addition, culture enrichment is expected to be avoided as both increased cost and lengthy analysis times are prohibitive. We are seeking a fellow that
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USDA-ARS Postdoctoral Research Opportunity: Development of Novel Vaccines for Poultry Viral Diseases
performance and effectiveness. Through these learning objectives, you will develop a robust skill set in virology, molecular biology, and vaccine development, contributing to advancements in avian disease
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pathogens Verticillium dahliae and Fusarium oxysporum are a primary constraint on production of high value specialty crops in California. Synthetic chemical soil fumigants can partially control these diseases
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instrumentation, quantitative analysis, and modern modeling approaches that help connect fiber properties to fabric performance. Learning Objectives: Under the guidance of a mentor, you will: Develop
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Army Institute of Research (WRAIR) DoD's premier research enterprise for infectious diseases, brain health, and performance optimization, is offering this Postdoctoral research opportunity to conduct
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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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is typically complicated by the complex nature of food matrices and the frequent need to detect very low numbers of targeted pathogens amongst relatively high numbers of generally benign background