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science, or a related quantitative field for a two-year Postdoctoral Research Fellow position. This position involves developing statistical methods, data analytic tools, and mathematical models for
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science, or a related quantitative field for a two-year Postdoctoral Research Fellow position. This position involves developing statistical methods, data analytic tools, and mathematical models for
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for a postdoctoral fellow position in the Laboratory of Systems Pharmacology ( LSP ; https://labsyspharm.org/ ), part of the Harvard Program in Therapeutic Science, at Harvard Medical School in
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quantitative, data-analytic, and writing skills who are eager to apply these abilities to questions in regulatory science, pharmaceutical policy, and the evidentiary basis of medical product regulation
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and Machine Learning , with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable
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-discrimination policy. Basic 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
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images contain rich information on complex diseases. The goal of our efforts is to build and apply automated analytical pipelines for various types of pathology data, including histopathology images and
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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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analysis pipelines for processing RNA -seq, single-cell RNA -seq, genomics, and proteomics data. Develop novel algorithms and integrated data visualization applications when existing software packages are
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scientists or quantitative social scientists who harness tools of AI, data science, computer science, or system science to improve the performance of public and social sector institutions in critical