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                -Resistant Organism Repository and Surveillance Network (MRSN) is a unique entity that serves as the primary surveillance organization for antibiotic-resistant bacteria across the Military Health System (MHS 
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                . gain knowledge of important research networks such as the Long-Term Agroecosystem Research (LTAR) Network that has a vision to develop national strategies for the sustainable intensification 
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                to a specific disorder outcome. The successful candidate will help with research under the guidance of location staff using a variety of advanced tools, including GC and LCMS to both define and track 
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                research and data analyses, including: Model Development: Design and implement advanced statistical and mathematical models to support disease surveillance and risk assessment. Software/Code Development 
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                to the military research network (e.g., Defense Health Agency, Army Futures Command). Why should I apply? Under the guidance of a mentor, you will gain hands-on experience to complement your education and support 
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                opportunity to develop scientific networking, management and career development skills through participation in scientific meetings, and ample opportunity to interact with academic and industry stakeholders 
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                the most state-of-the-art software and bioinformatics tools, such as DNASTAR’s Genomics Suite and GeneMapper. Where will I be located? Silver Spring, Maryland What is the anticipated start date? The WRAIR is 
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                networking, project management and career development skills through participation in scientific meetings, and ample opportunity to interact with academic and industry stakeholders. Mentor(s): The mentor 
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                Survey (USGS) within the USGS Climate Adaptation Science Center (CASC) network, specifically the regional North Central CASC (NC CASC) located in Boulder, Colorado. Regional CASCs support and produce 
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                , observational networks, and reanalysis products. The forecasting model time lag will be paired with the time periods needed for impactful management activity (e.g., increased livestock monitoring, vector