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Postdoctoral Research Scholar in Machine Learning and Computational Genomics Department of Epidemiology, School of Public Health, University of Pittsburgh The Department of Epidemiology
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Vacancy ID: PDS004675 Position Summary/Description: National Research Service Award (NRSA) postdoctoral research fellowships are available in the Genetic Epidemiology of Heart, Lung, and Blood Traits
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Posting Information Posting Details Department Epidemiology - 463501 Posting Open Date 10/13/2025 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position Title
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the University of Bristol. Your role will focus on modelling the population-level epidemiological and economic impacts of new policy interventions in the out-of-home food sector. You will work alongside experts in
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the University of Bristol. Your role will focus on modelling the population-level epidemiological and economic impacts of new policy interventions in the out-of-home food sector. You will work alongside experts in
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Diseases. The Infectious Disease Epidemiology Group (IDEG) at WCM-Q invites applications for a postdoctoral position in the area of mathematical modelling of the epidemiological dynamics of communicable and
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responses. Qualifications: A doctoral degree in a relevant field is required, preferably a quantitative field such as epidemiology, bioinformatics, statistics, computer science or engineering. The ideal
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Postdoctoral Associate with a strong analytical background to join our research program in systems epidemiology and continuous glucose monitoring (CGM). Our group integrates epidemiologic data with multi-omics
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Job Description Are you looking for the best possible foundation for fulfilling your dreams and ambitions within application of bioinformatics to epidemiological research? At DTU National Food
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infections. As a post-doctoral researcher, you will work at the intersection of data science, epidemiology, and clinical research, developing innovative methods to optimize the use of rich real-world data. You