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Posting Details Posting Detail Information Working Title Post-doctoral Research Fellow - Open Pool Position Location Fort Collins, CO Work Location Position is fully in-office/in-person Research
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candidate will be working with a large database comprised of prairie and marsh vegetation observations, fine-scale LiDAR data-derived ground elevations, Everglades-wide hydrological modeling and observations
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software delivery f) big data visualization g) cloud computing h) web application development i) NetCDF and Zarr data models f) earth system model development. Experience with software development, analysis
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of the Principal Investigator (PI). Engage with PI and U01 investigators to conduct the aims of the research award. Conduct research using large-scale secondary data analysis. Assist PI in the calculation of novel
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. The postdoc will process and analyze data, prepare manuscripts, and assist with MRI data collection. The CNS Lab has collected MRI data from samples of typically developing infants, infants who develop autism
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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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, 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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in different brain models (tree shrew, macaque, human neurotypical, schizophrenia patients) and levels of analyses (local- and large-scale circuits). This is a unique opportunity to learn about team
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of degeneration; data collection and analysis; and preparation of presentations and manuscripts. The Williams lab is an established research group at WashU Medicine. Our research goals are focused on identifying
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implementation of various projects, including (but not limited to) scaling, algorithm development, scaled score development and documentation. Support the creation, management, and retention of large-scale data