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, and the CDC Insight Network. POSITION QUALIFICATIONS REQUIRED: PhD (or equivalent) in Biostatistics, Epidemiology, or a closely related field. Strong applied data analysis and quantitative modeling
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on the development of mortality surveillance systems from Tribal health departments. This project develops innovative Bayesian hierarchical spatio-temporal models to integrate multiple surveillance systems, correct
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specified by the Principal Investigator. Postdoctoral position in computational modeling of anxious avoidance at the Computational Mechanisms of Psychopathology Lab at Emory University (PI: Vanessa Brown, PhD
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. Methodological work may draw on tools from nonparametric and semiparametric inference, machine learning, graphical models, and related areas. The researcher will have flexibility to develop a research agenda that
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join our multi-disciplinary team of researchers, including immunologists, PhD students, physician-scientists, and bioinformaticians. The postdoctoral fellow will work in an NIH-funded laboratory and will
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statistical and deep learning-based methods; * Construct AI-driven models for mosquito habitat mapping, integrating diverse climate change scenarios to enhance predictive accuracy and future forecasting
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care; home- and community-based services; and aging-in-place. This is an opportunity for a fellow to lead analyses, manuscripts, and conference presentations on assessing dementia care in home and
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Epidemiology. Current collaborative studies focus on how HIV affects the development and progression of cardiometabolic comorbidities across the life course. Based on background, skills, and interests
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landscape. Candidates must be highly motivated, well organized, technically proficient, critically minded, and able to work independently but collaboratively with others. Candidates must possess a PhD, MD, or
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in PREMISE (PrEP Epidemiology, Modeling, and Surveillance), a collaborative and interdisciplinary group that will use national PrEP data, along with legal and policy coding, to inform the US HIV