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findings from a surveillance network to decision-makers, other researchers, and the public. Gain experiences within the Global Emerging Infections Surveillance (GEIS) Branch of the DoD’s Armed Forces Health
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-efficient machine learning framework that leverages graph grammar to inverse-design polymers with tailored thermal and mechanical properties. By interpreting molecules as graph networks, they will train a
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participating in geospatial data gathering, utilizing GIS software, map making, and back-end geodatabase management. Where will I be located? Fort Huachuca, Arizona What is the anticipated start date? The USAEC
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of basic and applied research Network with world-class scientists Exchange ideas and skills with the Laboratory community Use state-of-the-art equipment Contribute to answers for today's pressing scientific
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Transition classroom theory into hands-on experience Network with world-class scientists Exchange ideas and skills with the Laboratory community Use state-of-the-art equipment Contribute to answers for today's
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and participant will define the scope of research and schedule the appointment period. Appointment periods range from one month to more than one year. Funding varies and is awarded based upon
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contribute to the development of discretization techniques, the implementation of efficient solvers, and the linkage of various physics to create a multi-physics software code applicable to complex flow
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, git, raspberry pi, sensor integration, networking, and radios. Why should I apply? Under the guidance of a mentor, you will gain hands-on experience to support your academic and professional goals
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in a laboratory General computer skills to include making presentations and analyzing data in spreadsheets or statistical/graphing software Application Requirements A complete application consists of
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development activities, including workshops, lab tours, lectures, poster sessions, seminars, and networking opportunities Lunch stipend Transportation to and from ORNL may be available This work was supported