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machine learning, coupled fire behavior/fire atmosphere modeling, air quality modeling, and system evaluation. Depending on their skills and interests, they can participate in various aspects of the project
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medical treatment facility. One of the most exciting and unique components of DGMC is the Air Force Clinical Investigation Facility. At the CIF, you will have the opportunity to participate in cutting edge
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while gaining invaluable skills in AI, machine learning, and public health. This project offers a unique opportunity to bridge the gap between cutting-edge technology and real-world impact, shaping
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, Environmental Sanitation and Hygiene, and Laboratory Services. What will I be doing? Under the guidance of an epidemiologist mentor, you will be involved with and learn how to: Collect, evaluate and provide
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. Qualifications The ideal candidate should have a strong background in the mathematical and computational aspects of modeling subsurface and surface flows. Knowledge in machine learning, data assimilation, and
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. Along the way, you will engage in activities and research in several areas. Learning activities will focus on: The development and characterization of animal models and/or microphysiological systems
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-on experience to support your academic and professional goals. The participant will have the opportunity to engage in research and learning activities focusing on several important unknowns, including: Can we
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results, and collaborations. The Fellow will also have opportunity to engage with project collaborators to develop and enhance their network of subject matter experts. Outreach may include travel. Learning
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to support secure and reliable communication systems essential for military and research applications. What will I be doing? Under the guidance of a mentor, you will engage in research focused on network
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of prospective projects/tests Collaborating in test teams to design and develop test plans, and analysis methodologies Learning presentation techniques incorporating information related to kinetic and/or non