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goal of this project is to develop machine learning techniques to improve climate change simulations. M²LInES is composed of more than 30 scientists at NYU, Columbia, MIT, Princeton, GFDL, NCAR and CNRS
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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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for candidates who are interested in pursuing a PhD in business or economics afterwards (many of our past RAs were admitted into top PhD programs including Harvard, MIT, Chicago, Berkeley, Toronto, Columbia, and
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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
. About the PI Dr. Nezar Abdennur received his PhD in Computational and Systems Biology at MIT, specializing in the spatial organization of the genome (3C/Hi-C technologies), its relationship to
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statistics (required) Previous experience estimating econometric models (strongly preferred) Interest in applying to a quantitative PhD program and pursuing an academic career (strongly preferred). We prefer
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of the rich and varied training and career development opportunities offered at HSPH. Basic Qualifications · PhD or equivalent in computational biology, computer science, epidemiology, statistics, mathematics