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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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, Japanese history (esp. early modern), historical geography, GIS, programming (esp. Python) and computer science, statistics and data science, text mining, natural language processing, demography, economics
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biochemistry, molecular biology, (genetics, or bacteriology) * have first-author publication(s) in peer-reviewed journals * be highly self-motivated. Ideal candidates will want to: * conduct original
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, biostatistics, or closely related fields. Key Responsibilities Through post-doctoral research the scientist will: • Independently develop or apply tools to analyze high throughput multiomic data, including DNA
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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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Postdoctoral Research Associate Position in Theoretical Condensed Matter and Quantum Science - Prof. John Sous The Department of Applied Physics at Yale University seeks to fill a Postdoctoral
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Postdoctoral position in AI for protein design with applications to TCR & BCR models The lab of Prof. María Rodríguez Martínez at the Department of Biomedical Informatics & Data Science, Yale School
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/CT and PET/MR imaging for cardiac applications. Responsibilities involve working with preclinical large animal models, preclinical and clinical PET imaging, image analysis, kinetic modeling, data
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Goshua Lab, Medical Oncology & Hematology, Yale Cancer Center and Yale School of Medicine Title: Postdoctoral Position in Decision Science and Pharmacoepidemiology Description: One full-time
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techniques, animal experiments, and data analytics are encouraged to apply. The ideal candidate will spend at least two years in the position and be passionate about scientific investigation to advance cancer