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, Remote Sensing and Biogeography Lab and Robotic Discovery Lab. Candidates must have a Ph.D. in acoustics, or oceanography with demonstrated strengths in large data analysis, multivariate statistics
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21 Feb 2026 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Environmental science Researcher Profile Established Researcher (R3) Application Deadline 10
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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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economics, data science or closely related field, with strong quantitative skills and demonstrated experience in applied econometric analysis, large-scale data integration, and global or regional economic
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Autonomous Transportation. As far as technical enablers are concerned, we leverage expertise on advanced technologies including semantic/task-oriented data processing, signal processing, network resource
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The Department of Genome Sciences at the University of Virginia (UVA) invites applications for a Postdoctoral Research Associate position in the broad areas of biostatistics, data science, and AI
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 5 hours ago
missions (e.g., Surface Biology and Geology - SBG). This could involve advancing atmospheric correction, dimensionality reduction, or machine learning approaches for handling big data in order to improve
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experience working with large, complex data from varied sources. The candidate should have proficiency with statistical software, ideally Stata, strong written and interpersonal communication skills, and a
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) utilizing integrative data analysis to harmonize phenotypic data across a number of large, genetically-informed longitudinal study samples with the goal of characterizing the longitudinal interplay between
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research income generation. You will also have experience in working with large micro databases and grouped data. Experience of independently managing a discrete area of a research project, working in