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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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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 | 1 day 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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biostatistics, quantitative biology, and synthetic biology to answer fundamental biology questions such as how cell-cell interactions changes cell state. Candidates with broad backgrounds in cancer biology
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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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immunologic skin diseases. Candidates are welcome from various interrelated backgrounds, such as epidemiology, computer science, public health, health services research/health policy, and/or biostatistics
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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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, functional genomics, and mouse engineering approaches to understand how cancer cells communicate with their neighbors, or the stromal cells, in the metastatic cascade. Our lab also applies biostatistics
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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