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We are seeking a Postdoctoral Researcher in Geospatial Urban Big Data to support the analysis of urban dynamics and decision-making in territorial planning. The candidate must be proficient in GIS
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/ML methods for large astronomical datasets -Human-AI collaboration frameworks for scientific discovery -Large-scale applications to observational data from current and future surveys Access state
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computational power and the increasing availability of large volumes of remote sensing data with finer spatial and temporal resolutions have significantly transformed the way we approach climate and weather
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of dynamical systems, which will be integrated into large-scale optimization frameworks to enhance the efficiency and reliability of power grid operations. The Postdoctoral Appointee will be responsible
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technologies, including big data analytics, artificial intelligence (AI), remote data transfer, and cloud computing to help solve complex agricultural problems. -The candidate will work on the synthesis
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-based modeling of hydrological and Earth system processes. The CHAS group conducts world-class research in hydrological and Earth system modeling, large-scale data analytics and machine learning (ML), and
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that promote inclusivity, fairness, and productive discourse online. We seek a candidate with expertise in the following four areas: (1) working with large-scale digital trace data; (2) building and running
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28 Aug 2025 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Other Researcher Profile Established Researcher (R3) Country Brazil Application Deadline 15 Oct
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of the tremendous variability in landscape, fire, and treatment characteristics to conduct a set of natural experiments, taking an approach based on “big data” and remote sensing to learning from past fuel treatment
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4 Sep 2025 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Environmental science Researcher Profile Established Researcher (R3) Country Brazil Application