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(e.g. R, Python) and an ability to work with large datasets Strong record of peer-reviewed publications Ability to independently design and execute experiments and interpret data Ability to work in a
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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cell culture, phylogenetic analyses of large next-generation sequencing (NGS) datasets, and models of trait evolution. The post doc will also integrate molecular data with comparative and evolutionary
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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of expertise Conduct experiments and intensively participate in data analysis and preliminary data collection Analyzes research data and summarizes results Collect, compile, interpret, and analyze data, compile
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functional theory (DFT)-based approaches, coupled with effective continuum and/or tight-binding models derived from first-principles calculations. The project is part of a large, multi-institution
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), with a track record of working with large, complex datasets. This includes collecting, managing, analyzing, and visualizing/communicating data to a variety of audiences: the general public, scholars
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Science, Computer Science, or a related field; familiarity with large-scale data management, curation, and FAIR data principles; experience with plasma physics, MHD stability, or fusion energy research
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. Responsibilities will include contributing to the cleaning and management of large administrative data on childcare providers and families; implementing econometric modeling techniques using R and/or Python
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seeking applications for a full-time post-doctoral associate. We are conducting several large randomized clinical trials, cohort studies, and surveillance programs, in India, Latin America, and the