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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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with CHAMPS leadership and scientific oversight team, develop and implement priority nutrition-related research questions for CHAMPS. Monitor and evaluate nutrition-related data collected in CHAMPS MITS
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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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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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of the following would be beneficial: probabilistic forecasting, machine learning, statistics, grid integration of renewable energy, integrated energy systems. Good programming skills and familiar with one or more
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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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. Responsible for other duties as assigned. Basic Qualifications Bachelor’s degree in economics, data science, computer science, statistics, information systems, or related field. Experience with cleaning and
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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