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and research in several areas. These include, but are not limited to: Adversarial location and network interdiction models Adversarial machine learning attacks and defense (e.g., against Bayesian
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when these arise. Research Project: The Respiratory Virus Hospitalization Surveillance Network (RESP-NET) Team, within the Surveillance, Epidemiology and Prevention Branch of CORVD, is seeking a
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structures, molecular networks, and disease-resistance phenotypes. Artificial intelligence (AI), machine learning, and bioinformatics will connect genotypes with phenotypes and identify maize and fungal genes
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surrounding areas to inform the PHAs. Network and gain communication experience through community outreach and coordination meetings with partners and key stakeholders. Learn about priority hazards and evolving
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through participation in professional meetings and trainings and networking with experts. Mentor(s): The mentor for this opportunity is Linda Hansen ([email protected] ). If you have questions about the nature
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influence outcomes based on early immune response dynamics. Opportunities for additional training, communication of findings, and professional networking will also be available. Mentor(s): The mentor
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coursework and/or a background in transportation, collection analysis, data analysis, computer programming, technology, outreach, and/or communications. Have a demonstrated ability to meet established
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Implementing Bayesian networks and uncertainty quantification techniques to account for sensor noise and model confidence limits Designing, training, and fine-tuning computer vision models to extract clinically