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driven individual with a PhD in data science, computer science, biomedical informatics, or a similar background with some experience working with large datasets. Prior experience with healthcare is not
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for functional neuroimaging such as connectome-based predictive modeling. They will also receive training in the clinical neuroscience of preclinical and early-stage disease and in heterogenous Alzheimer’s and
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are invited for a Postdoctoral Associate to join the research group of Dr Sarah Aitken (MBChB PhD) in the Center of Molecular and Cellular Oncology, Yale Cancer Center investigating the causes and consequences
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projects may include: - Completing the first public version of the Digital Atlas of Tokugawa Japan or building new capabilities on top of it. - Building a Digital Atlas of Meiji Japan based on
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models, evaluation of individualized predictions or estimates for individuals with diverse backgrounds, and promotion of health equity using AI models. The Postdoctoral Associate will be responsible for co
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Science and Data Equity research team in the School of Public Health with a primary home in the Department of Biostatistics. The postdoctoral associate will work with Dr. Bhramar Mukherjee, PhD
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are invited for a Postdoctoral Associate specialised in Computational Biology to join the research group of Dr Sarah Aitken (MBChB PhD) in the Center of Molecular and Cellular Oncology, Yale Cancer Center
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— such as selective translation, transport, phase separation, and localization—that enable cells to respond to mechanical stimuli. This project will explore RNA-based regulatory mechanisms in
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- based intervention services to individuals at CHR-P, and receive clinical supervision This an excellent opportunity for those interested in a career that combines clinical research and program development
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. Qualifications We are seeking candidates who meet the following criteria: A PhD or equivalent degree, already obtained, in a related field e.g., philosophy, law, computer science, data science, social sciences