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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 2 months ago
science, mathematics, statistics, or a related field; at least two years of specialized experience with quantitative data analysis, research methods, and/or social sciences research (which may include coursework
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 2 months ago
from MIT, other universities, national laboratories, and private industry; and ability to work in a dynamic, fast-paced team-oriented environment. PREFERRED: experience with advanced statistical tools
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: The Statistical Genetics postdoc will be working with Dr. Dey and Dr. Rahul Mazumder from MIT and other collaborators from MSKCC, Columbia University, Stanford University, and Harvard T.H.Chan School of Public
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grammar in embryogenesis and cancer development (please visit https://labs.utdallas.edu/caolab for more details). You will ideally have a strong background in bioinformatics and statistics and prior
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 3 months ago
, statistical, problem-solving; and written and verbal communication skills; ability to convey complex technical concepts to non-technical audiences; ability to work effectively both independently and as part of
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with collaborators across institutions (OSU, University of Pittsburg, MIT, McGill University, University of Guelph, and University of British Columbia) but will be physically based full time at
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collaborators on these projects, including Pawan Sinha at MIT, Alireza Ramezani at Northeastern, Joo-Hyun Song at Brown University, and David Lin at Massachusetts General Hospital. The research is supported by
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on these projects, including Pawan Sinha at MIT, Alireza Ramezani at Northeastern, Joo-Hyun Song at Brown University, and David Lin at Massachusetts General Hospital. The research is supported by the National
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MSc from the University of Cambridge as a Marshall Scholar, her PhD from MIT, and her postdoc at Harvard Medical School. Her interests lie at the intersection of machine learning, healthcare, and
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | 3 months ago
analysis, physical or statistical modeling, and visualization of large and multimodal data sets derived from next-generation sequencing technologies, leveraging both public data and experimental data from