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or economics), epidemiology, biostatistics, statistics, data science, applied mathematics, or related field Other skills & competencies: Data management and cleaning and conducting descriptive analyses
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a relevant subject (epidemiology, biostatistics or big data) and have experience of working with Swedish population registers on epidemiological studies. You will possess sufficient specialist
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are readily available, including biorepository and clinical biomarkers labs, biostatistics, applied bioinformatics, proteomics and metabolomics and a variety of brain and body imaging resources (MRI, fMRI, DTI
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An opportunity has arisen for a talented researcher with an interest in genetic epidemiology and/or causal inference to join Dr Stephen Burgess's research group based at the MRC Biostatistics Unit
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We are seeking a Postdoctoral Research Assistant to join a new Oxford-GSK partnership focused on biostatistics and artificial intelligence (AI) for application in medicine. With a cross-departmental
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
Posting Information Posting Details Department Biostatistics - 462001 Posting Open Date 05/15/2025 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position Title Post
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guidance from expert PET researchers and statistical support (from the Biostatistical Consulting Core). In addition, the candidate will have access to numerous internal funding mechanisms to obtain funding
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Behavioral Ecology Biostatistics, Statistics, Computer Science, Public Health, Data Science Chemical and Biomolecular Engineering Civil and Environmental Engineering Coastal Marine Environment Climate Change
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guidance from expert PET researchers and statistical support (from the Biostatistical Consulting Core). In addition, the candidate will have access to numerous internal funding mechanisms to obtain funding
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manuscripts, and contribute preliminary data for grant proposals. The appointee will play a pivotal role in biostatistical research, involved in all aspects of statistical considerations from early phase