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the supervision of the Principal Investigator, including but not limited to the following: Develop new computational tools through the application of AI / deep learning / machine learning / statistics on spatial
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 36 minutes ago
in the Office of Translational Sciences at the FDA is recognized for excellence in the application and communication of statistical science in drug regulation and development. We play a central role in
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epidemiology, remote sensing, machine learning and/or meta-analyses to identify impacts of environmental change on infectious disease dynamics and design targeted surveillance approaches; - Develop and implement
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 31 minutes ago
just medicines. Research Project: Under the guidance of a mentor, you will implement two-stage meta-analytic models and weighted least squares correlation methods to estimate the surrogacy strength
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, or other methodologies relevant to the post. Experience using systematic review software and analytical tools, or statistical software appropriate for meta‑analysis. Experience working with clinical
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Division of Diabetes Translation's Surveillance, Epidemiology, Economics and Statistics Branch (SEESB). Under the guidance of experienced CDC scientists, you will participate in epidemiologic and statistical
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Division of Diabetes Translation's Chronic Kidney Disease (CKD) Initiative. Under the guidance of experienced CDC scientists, you will participate in epidemiologic and statistical research examining trends
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 29 minutes ago
just medicines. Research Project: Under the guidance of a mentor, you will implement two-stage meta-analytic models and weighted least squares correlation methods to estimate the surrogacy strength
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using standardized appraisal tools (e.g., Cochrane RoB, GRADE, MINORS). Applying qualitative and, where appropriate, quantitative synthesis (meta-analysis) of clinical outcomes related to amputation
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To contribute to the creation of sample size calculations for Individual Participant Data (IPD) meta-analysis projects by undertaking a range methodology research activities within an NIHR-MRC funded project