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mechanisms, and ozone depletion and radiative forcing by these gases. Additional information about AGAGE and CS3 is available at https://agage.mit.edu and https://cs3.mit.edu . REQUIRED : Ph.D. in a relevant
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. common genetic variation 2. Developing methods to analyze GWAS data using graphical models and genome-wide genealogies 3. Developing methods to integrate rare protein coding genetic association data with
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observational data of non-CO 2 greenhouse and ozone-depleting gases (e.g., N 2 O, CFCs, HFCs), and to extract diagnostic insights from instrument performance indicators, using machine learning methods
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replacement. The incumbent leads day-to-day conduct of two ongoing trials on pain pathways, collects and analyzes neurophysiologic and biomechanical data, maintains regulatory compliance, and contributes
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, including IRB submissions, participant recruitment, data collection, and meetings with stakeholder and community partners. Develops and maintains study protocols, data management systems, and project
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mechanical tests on a dual-actuator loading frame, and acquiring full-field deformation data using three-dimensional digital image correlation (DIC). On the numerical side, this involves building
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typical duties, but other duties may also be assigned. Development of the research project, including planning and designing experiments, data analysis. Presentation of project results at meetings and
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Cambridge, Massachusetts, POSTDOCTORAL ASSOCIATE, AI IN EDUCATION , MIT Blueprint Labs , to help lead research exploring the impacts of AI in US education systems. Blueprint uses data and economics
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real-world evidence. The Fellow will support strategic dissemination of data across a wide range of channels and lead diverse projects throughout the two-year program based on business needs and
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Scientists contribute throughout the development cycle from Phase 1 to IND submission. They are data-driven, scientific leaders of programs in the clinical stage, with key responsibilities in clinical