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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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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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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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Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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USDA-ARS Postdoctoral Research Opportunity: Development of Novel Vaccines for Poultry Viral Diseases
gain proficiency in using advanced recombineering technologies to modify cloned virus genomes, learning how to apply genetic engineering techniques for the study and manipulation of viral pathogens
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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
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$71,678.04 – $74,678.04 Yearly Point of Contact Sara Beth Eligibility Requirements Citizenship: U.S. Citizen Only Degree: Doctoral Degree. Discipline(s): Chemistry and Materials Sciences (6 ) Computer
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. Learning Objectives: Under the guidance of a mentor, you will have opportunities to: Advance science communication skills through preparation of scientific manuscripts and presentation of research results
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months of the application date. Preferred skills: Experience with using computational protein engineering principles Experience with recombinant protein expression mammalian and bacterial systems