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and swine populations. The participant will have the opportunity to collaborate with multiple USDA ARS scientists and investigators within the University of Pennsylvania Center for Excellence in
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evolution using data generated from IAV surveillance in human and animal populations. The participant will have the opportunity to collaborate with multiple USDA ARS scientists and investigators within
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multiple applications in Zintellect, they must click the unique link in each email request, but will be given the opportunity to copy over what they had previously submitted. All documents must be in English
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, improving prediction of evolutionary trends, and integrating multiple data types for enhanced surveillance. Gaining advanced training in the use of bioinformatics platforms, phylogenetic and phylodynamic
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engineering, computer science, or related fields Expertise in machine-learning and/or online BCI Advanced programming skills (i.e. Python, Matlab, R) and strong experience in algorithmic design, mathematical