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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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. The research focus will be on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and to accelerate chemical discoveries for renewable energy
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lensing, (2) experience with strong gravitational lensing, (3) coding and software development, (4) student mentorship experience, (5) statistical inferences from astronomical data or (6) work in large
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We are seeking a Postdoctoral Researcher to join our interdisciplinary food system analysis group at the Oxford Martin School. This ambitious project seeks to use large, data-driven integrated
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economics, and expertise with online surveys, field experiments, RCTs, and applied data analysis. Ability to handle large volumes of data and familiarity with household surveys are required, alongside solid
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contributing to mean state biases and their non-stationarity; 3) assessing local and remote contributions from large-scale climate modes to coastal sea level variability; 4) collaborating with others at NOAA's
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(ACL) and other knee-related injuries. You will integrate and analyze large-scale clinical registry data in close collaboration with Sahlgrenska University Hospital, aiming to create predictive
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provides a dynamic and inspiring environment for researchers to address the grand challenges of our time. The post doc position is part of the research group “Spatial Data Science and GeoCommunication” led
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Post-doctoral fellowship (PDF) description: This post-doctoral fellowship (PDF) will harness the large amount of data generated from this site using various remote sensing systems as well as ground
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Description Job Responsibilities: -Compile, organize, and synthesize large, multi-year datasets from soil health and crop productivity studies across multiple locations. - Apply advanced statistical and