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the physical effects of the propagation environment; computational/numerical modeling using novel and standard approaches, such as, entropy maximization, immunology, and high performance parallel processing; and
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-on learning opportunity to be involved in advancing the science of nutrition, dietary supplements and maternal and infant health outcomes throughout the lifespan. Located within the Division of Program
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internationally known, unique facilities. This team has developed state-of-the-art experimental and computational models for solving water resource problems worldwide. CHL research and development addresses water
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technologies required to make that future possible. We’ve long touted our success in developing the technologies that took on acid rain in the 1970s and mercury in the early 2000s. Program Goals The NETL
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to be involved in ultra-processed foods in chronic disease. Located within the Division of Program Coordination, Planning, and Strategic Initiatives in the Office of the Director, National Institutes
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. Qualifications Applicants must have completed either a baccalaureate or master's degree in mathematics, statistics, computer science, data science, or other field directly related to this opportunity (for a
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availability, funding availability, project assignment, and program rules. What are the benefits? You will receive a stipend to be determined by USAEC. Stipends are typically based on a participant’s academic
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development pertaining to chemical and biological detection. You will gain experience with algorithms, data analysis, Deep Learning, Python, pytorch and /or tensorflow, NLP, genetic algorithm, computer vision
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collaborate with the Puerto Rico Coastal Zone Management Program (PRCZMP) within the Department of Natural and Environmental Resources (DNER). PRCZMP specializes in building and maintaining partnerships
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through the Global Emerging Infections Surveillance Program Office. The objective of the GTD Study is to acquire cross-continent comparable data on the epidemiology and etiology of enteric disease threats