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pathogens affecting U.S. agriculture. The selected participant will join a multidisciplinary team investigating the bovine respiratory disease complex, with emphasis on bovine viral diarrhea virus (BVDV
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personal professional network with federal, university, and industry scientists through collaboration and stakeholder engagement. Mentor(s): The mentor for this opportunity is Nicholas LeBlanc
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translational vaccinology within a highly collaborative research network. Within this opportunity, you will be engaged in the following learning objectives: Applying machine-learning/AI platforms including
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. coli, Salmonella, Listeria monocytogenes, Campylobacter). Analysis is typically complicated by the complex nature of food matrices and the frequent need to detect very low numbers of targeted pathogens
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, scientific, and regulatory steps required to translate in vitro molecular hits into small animal preclinical evaluation models. Processing and integrating complex transcriptomic, proteomic, and image-based
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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
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extrinsic stresses. Foodborne pathogenic bacteria use complex molecular mechanisms to adapt and survive in the variety of harsh environmental conditions (meat animal host, production and processing chain, and
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affecting the overall quality of the food products is the desired goal. Learning Objectives: Learn to investigate and resolve food safety problems related to microbial inactivation in complex food products