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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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for the provision of research support for the ARC project on risk assessment tools in psychiatry, and particularly in child and adolescent psychiatry. About You You will have or be close to completing a PhD/DPhil in
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disciplines, including biomathematics, biostatistics, and molecular biology. The candidate is expected to have a solid grounding in programming in R, Python, and mathematics/statistics.The main duties involved
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addition, the project includes collaborations with researchers in other disciplines, including biomathematics, biostatistics, and molecular biology. The candidate is expected to have a solid grounding in
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Biostatistics & Bioinformatics Duke University invites applications for a postdoctoral associate in scientific machine learning (SciML) as part of a new NIH-funded Center for Excellence in Multiscale Immune
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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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discipline (e.g. Medical Informatics, Computer Science, Data Science, Computational Social Science, Epidemiology, Biostatistics, etc.) Strong research track record, programming, and implementation skills
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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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. 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