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and gene therapy. You will use advanced manufacturing tools and strategies to gain a deeper understanding of challenges associated with T cell-based immunotherapies such as CAR-T cells and develop novel
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sequencing in cattle. Developing better statistical methods to improve association studies with QTL and enhancing genetic prediction tools for automation of data processing required for SNP use in livestock
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and their natural enemies. This research will leverage advanced 'omics' technologies and 'big data' analytics to unravel complex pest-natural enemy interactions, understand host associations, and
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and gene therapy. You will use advanced manufacturing tools and strategies to gain a deeper understanding of challenges associated with T cell-based immunotherapies such as CAR-T cells and develop novel
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within the collection; phenotype a core subset and develop marker trait associations; with all data becoming publicly available. Approach: Participant will collaborate closely with Breeding Insight (BI
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include the development of predictive models for disease resistance, genome-wide association studies to uncover resistance loci, automated phenotyping approaches using image data, and integrative multi
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. Learning Objectives: Under the guidance of a mentor, you will examine bacterial pathogenesis, host immunity and vaccine antigen immunogenicity associated with novel bacterial proteins from Neisseria
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, improve, optimize, and disseminate aflatoxin biocontrol technologies to growers. The goal of the current project is to elucidate genetic and genomic traits associated with enhanced displacement
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. This research will leverage advanced 'omics' technologies and 'big data' analytics to unravel complex pest-natural enemy interactions, understand host associations, and identify adaptation mechanisms at a
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propulsion system performance, including hybrid-electric configurations, and associated flight envelope limits. Gaining experience in the evaluation of aircraft mission performance using modeling and