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undergraduate or graduate students, if appropriate. Additional Information The ideal candidate should be an independent, solution-oriented thinker with a strong background in processing very large data sets
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/Statistics Internal Number: JR101137_1774276539 The Data Science and Statistics Program at the University of Richmond invites applications for a two-year postdoctoral research position in the Distant Viewing
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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 large-scale biological datasets, applying statistical modelling and computational approaches to high-dimensional data such as bulk and single-cell sequencing, gene expression, proteomics, or metabolomics
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9 Apr 2026 Job Information Organisation/Company Université de Sherbrooke Department Interdisciplinary Institute for Technological Innovation (3IT) Research Field Engineering » Materials engineering
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2 Apr 2026 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Engineering Environmental science Geosciences Researcher Profile Recognised Researcher (R2) First
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geospatial data analysis techniques to large Earth Observation datasets. • Produce high-quality scientific publications in peer-reviewed journals and present research results at international conferences
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proteins and pathways implicated on disease pathogenesis. We are currently analyzing brain, CSF and blood, multi-omic data (transcriptomics, proteomics and metabolomics), from a large collection of well
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, such as learning analytics (from e.g. click-stream data, eye tracking, screen capture etc.), surveys, or other large-scale data analysis. However, we also welcome qualitative or mixed-method approaches
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large amounts of geospatial training data to effectively classify grazing, haying, and other grassland management regimes on U.S. agricultural lands. The researcher will also work closely with colleagues