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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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, organizational, and analytical skills. Have the ability to network across various offices, work units, and organizations to obtain information, collaborate on data-related projects, and validate findings and
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partners, and the Nutrition and Obesity Policy Research and Evaluation Network (NOPREN). Training opportunities of the fellowship may include: Receiving training in assessing community programs that increase
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regulatory network and exposure to real-world policy challenges will position you as a competitive candidate for advanced roles in government, academia, or the private sector. Mentor: The mentor
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. Navy under the Department of Defense and is one of eight subordinate research commands in the global network of laboratories operating under the Naval Medical Research Center (NMRC), Silver Spring
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clinical trial development Receive training in food pattern modeling methodologies Collaborate with a broad range of scientists and develop a strong network Develop methods to investigate the links between