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-on experience in infectious disease modeling and vaccinology in an applied government setting while learning and practicing Bayesian methods for nowcasting, forecasting, and Rt estimation. You will also develop
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of a mentor, you will implement two-stage meta-analytic models and weighted least squares correlation methods to estimate the surrogacy strength of CGM-derived metrics (e.g., Time in Range (TIR
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on advancing methods to estimate direct data center water use under varying climatic, technological, and operational conditions. You will conduct research that synthesizes publicly available information
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Respiratory Viruses Division (CORVD), National Center for Immunization and Respiratory Diseases (NCIRD), CDC. You will receive training in advanced molecular methods, next-generation sequencing (NGS), viral
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applied methods to estimate VPD outbreak risk Evaluate strength of evidence used to plan specific preparedness activities Coordinate and match subject matter experts at CDC with immunization programs based
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aerial vehicle (UAV) imagery collection and processing, deep learning methods, and rangeland vegetation communities in Oregon and Idaho as part of an interdisciplinary team including researchers in plant
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sea ice observations are assimilated into the multi-category CICE6 model. In particular, the research will investigate methods for translating observed changes in sea ice concentration and thickness
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metrics measured from data gathered in social media insights and website analytics Create weekly reports Consolidate feedback from community members using surveys and other anecdotal collection methods
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multidisciplinary teams including biomechanical engineers, health physicists, and toxicologists to refine modeling assumptions, improve validation methods, and advance scientific research objectives. Preparing
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environmental factors associated with CKD incidence and trends. Apply advanced statistical and machine learning methods, including semi-supervised cluster analysis, to characterize populations with diabetes and