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& Responsibilities Conduct cross-sectional and longitudinal data analysis using large national datasets. Contribute to the development and implementation of simulations models to evaluate policy outcomes. Conduct
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Astronomy at Johns Hopkins University (JHU) invites applications for one postdoctoral fellow position to pursue research in time-domain multi-messenger astrophysics with emphasis on data science and AI
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discipline. Preferred Qualifications Master’s Degree in Public Health. Familiarity with data analysis software such as R, Stata or Python. Experience with literature reviews and handling large datasets
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conducting cancer epidemiology research utilizing large national datasets. Specific Duties & Responsibilities Conduct data analyses. Co-author scientific manuscripts. Submit scientific publications. Minimum
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Supervisor and direction of the investigators and study team members, the Research Program Assistant will help out with various activities vital to the large research study of Spinal Muscular Atrophy (SMA) and
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discipline. Preferred Qualifications Master?s Degree in Public Health. Familiarity with data analysis software such as R, Stata or Python. Experience with literature reviews and handling large datasets
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Computer/Information Sciences Internal Number: A-168130-3 General Description Professor Gillian Hadfield is seeking a highly-qualified postdoctoral scholar to join her team at the Normativity Lab in
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logistical and technical tasks related to integrating artificial intelligence (AI) and computational linguistics into tuberculosis (TB) screening and treatment efforts. This role will focus on leveraging large
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, and case data) to understand effective control policies. Specific Duties & Responsibilities The specific duties will require developing infectious disease transmission models in R, ‘big data’ management
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communities. Study data results will focus on public health outcomes specific to the approved protocols at the worksite. We are seeking a Research Program Assistant who will primarily assist in the day-to-day