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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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/Licenses Required Knowledge, Skills, and Abilities PhD, ScD, MD or an equivalent doctoral degree in epidemiology, biostatistics, public health, social and behavioral sciences (e.g., sociology, psychology
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. Collaborative work and teaching within the research team (10%) Qualifications Required Qualifications: Education: - Doctoral degree in bioinformatics, biostatistics, computational (micro)biology, genomics
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. Requirements Essential Requirements PhD Degree in a relevant scientific field (e.g. genetic epidemiology, molecular epidemiology, statistical genetics, biostatistics, health data science, etc) to be obtained max
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requested and appropriate. Requirements Essential Requirements PhD Degree in a relevant scientific field (e.g. genetic epidemiology, molecular epidemiology, statistical genetics, biostatistics, health
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 6 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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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
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JDM patient-derived muscle models and the impact of type I interferons on the model’s mitochondrial function. Requirements: · Intellectual curiosity and a growth mindset. · Biostatistics and
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Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The School of Public Health Division of Biostatistics and Health Data Science (BHDS) is seeking
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. degree in Biomedical Sciences, Epidemiology, Biostatistics or related disciplines, preferably with at least 1 year of post-qualification experience Experience in clinical research, epidemiological data