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will also gain experience analyzing and visualizing trends related to importing infectious biological agents into the United States. Learning Objectives: Gain experience supporting CDC efforts to prevent
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Guidelines for Americans, 2nd Edition. Learn how to engage with national partners to support updates to the National Physical Activity Plan. Gain experience authoring or co-authoring peer-reviewed scientific
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publications and public health practice. You will also participate in identifying research gaps, developing research questions, and engaging in studies designed to improve understanding of ALS etiology and
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well as evaluate the biological activity of these compounds. Learning Objectives: The participant will have the opportunity to learn and use basic aseptic techniques needed for surgical procedures and long-term cell
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Objectives: Under the guidance of a mentor, you will: Learn electrical geophysics and bNMR survey design. Understand the deployment and maintenance of buried ERT arrays and bNMR access tubes for time-lapse
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scientific methods and analytical approaches used to support the mission of the ATSDR Office of Innovation and Analytics (OIA). You will gain hands-on experience with computational, data science, and other
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Response is seeking a fellowship participant to receive hands-on training in the coordination, development, and implementation of advanced software systems. Through mentorship and experiential learning, you
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community health concerns and incorporate this information into the evaluation of potential health risks associated with environmental exposures. Learning Objectives: You will have the opportunity to: Gain
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communities through voucher incentive and produce prescription programs. Research Project: This fellowship is designed as a training experience that provides you with hands-on learning in policy, systems, and
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-making under uncertainty relevant to security and defense settings. Research activities will focus on methodological innovation, theoretical development, and applied mathematical/statistical modeling. Why