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, and decreases animal suffering and death. Our prion research program at Virus and Prion Research Unit investigates prion diseases across multiple species, including Bovine Spongiform Encephalopathy (BSE
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managing diabetes using computer simulation models. Learning Objectives: You will learn: How to synthesize and translate empirical evidence on cost-effectiveness of interventions for the prevention and
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facilities conducting research in DHS relevant areas? If you answered “Yes”, to the above questions, the HS-POWER program is for you! The U.S. Department of Homeland Security (DHS) Science and Technology
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) . This opportunity works with the LLS program. LLS is a service-learning fellowship that trains the next generation disease detectives and public health laboratory leaders. Research Project: This opportunity is with
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Environmental Research and Development Program (SERDP) and the Environmental Security Technology Certification Program (ESTCP) is offering a postdoctoral fellowship. Why should I apply and what will I be doing
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-depth literature reviews, analyze large data sets, develop educational materials, evaluate program outcomes, and contribute to research-oriented activities while gaining practical experience. In addition
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selected, your appointment offer will include the monthly stipend rate. Citizenship Requirements: This opportunity is available to U.S. citizens and LPR only. ORISE Information: This program, administered by
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: This program, administered by ORAU through its contract with the U.S. Department of Energy (DOE) to manage the Oak Ridge Institute for Science and Education (ORISE), was established through an interagency
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Systems Safety Center of Excellence • Intelligent Transportation Systems Joint Program Office • Positioning, Navigation and Timing (PNT) & Spectrum Management • Office of Research, Development & Technology
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proof-of-concept studies in developing next-generation prophylactics. What will I be doing and why should I apply? Under a mentor's guidance, you will engage in research that bridges computational protein