219 linked-data "https:" "https:" "https:" "https:" "https:" PhD positions at Harvard University
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. Norbert Perrimon’s group in the Program of Genetics at Harvard Medical School. Perrimon lab is actively generating data sets of omics scale and this position will involve working with other post-doc
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Fellow to develop and evaluate artificial intelligence methods for physical medical procedures. The fellow will design and implement machine learning models to analyze procedural data, support clinical
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academic year. For history of the chair, see https://harvaus.fas.harvard.edu/ Incumbents of the Chair will ordinarily hold the title of Gough Whitlam and Malcolm Fraser Visiting Professor of Australian
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the SMaHT Data Analysis Center that manages multi-omic data (e.g., Illumina/PacBio/ ONT Whole Genome Sequencing ( WGS ), RNA -Seq). The ideal candidate will have a deep understanding of next
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approaches to analyze large multi-modal datasets and/or who wish to deploy the next generation of exposome AI models. These positions come with data ready to analyze: the candidate can focus on developing
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Global Health and Social Medicine at this website . Basic Qualifications Doctoral degree in any field linked to social medicine or global health (e.g., anthropology, history, sociology, economics, ecology
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Qualifications Ph.D. or M.D./Ph.D. in areas such as Data Science, Statistics, Computer Science, Epidemiology, Environmental Health, or a related field. Demonstrated expertise in large scale analysis and
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Benefits This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https
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Details Title Onnela Lab Postdoctoral Research Fellow Position in Digital Phenotyping / Smartphone Data Research School Harvard T.H. Chan School of Public Health Department/Area Biostatistics
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Details Title Onnela Lab Postdoctoral Research Fellow Position in Digital Phenotyping / Smartphone Data Research School Harvard T.H. Chan School of Public Health Department/Area Biostatistics