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: Identify sources of desirable traits, quantitative trait loci (QTLs) and genes, and germplasm targets for trait integration; Elucidate the genetics and genomics of relevant traits and develop effective and
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of emerging chemical and biological threats. The capabilities you will participate in will include target/receptor-based screening and target characterization to identify mechanisms of toxicity and relative
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computing (HPC) environments and include data assimilation techniques in a Bayesian framework. Under the guidance of a mentor, the participant will identify and integrate multiple data streams into the model
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received by November 1, 2025. Preferred skills: Demonstrated experience in modeling and applied statistics including machine learning, Bayesian statistics, multivariate statistics, model assisted estimation
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. The gene editing track will focus on developing efficient delivery systems and mutating key genetic targets in pest species. This research will employ a wide array of skills including, but not limited
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new monoclonals that bind to specific targets on immune cells of wildlife and domestic livestock species; and Incorporating flow cytometric assays into research approaches broadly characterizing immune
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formulations to target multiple pathogens. The technology uses a genetic blueprint to create a novel mRNA for target proteins, which can be encapsulated into lipid nanoparticles (LNPS) for delivery and cellular
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mentor, the participant will conduct research on targeted and non-targeted analysis of per- and polyfluoroalkyl substances (PFAS) in food and food contact materials. The participant will be a part of
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theoretical formulation and analysis to testing algorithms in real-time on representative target hardware or in system-in-the-loop environments. This Post-Doc position will support the development and
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through innovations in the food and nutrition environment. RAFSRU conducts targeted research on human health and nutrition across all life stages, generating fundamental knowledge on the interplay among