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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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University of California, Los Angeles | Los Angeles, California | United States | about 21 hours ago
diverse team of investigators at UCLA including experts in immunogenetics, immunology, transplantation, infectious disease, biostatistics, and computational immunology at the University of California Los
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psychosis, through the use of genomics, metabolomics and neuroimaging data. A central part of the project is to develop and apply advanced biostatistical tools to predict clinical outcomes based on large
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neuroimaging data. A central part of the project is to develop and apply advanced biostatistical tools to predict clinical outcomes based on large-scale multimodal data. To achieve this goal, the researcher
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Two Postdoc Scholars in Biostatistics/Bioinformatics/statistical genetics The Department of Population and Quantitative Health Sciences at Case Western Reserve University School of Medicine. Dr
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, epidemiology, biostatistics, genomics, big data analytics, or artificial intelligence analytics Be familiar with conducting analysis with different types of data, including metagenomics sequencing, genomics
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Conducts research and training in cancer epidemiology, community based participatory research, behavioral science and cancer prevention and control, biostatistics, research ethics, scientific grant writing
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, such as epidemiology, computer science, public health, health services research/health policy, and/or biostatistics. Applicants should be independent thinkers and willing learners, ambitious and team
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Number: 2025 - 157 Business Unit: College of Public Health Department: COPH Biostatistics 50005426 Reg-Temp: Full-Time Regular Position Summary: A full-time Postdoctoral Fellow position will be available
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propagation problems, stochastic partial differential equations, geometric numerical integration, optimization, biomathematics, biostatistics, spatial modeling, Bayesian inference, high-dimensional data, large