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the Chair of Photogrammetry and Remote Sensing, at the Institute of Cartography and Photogrammetry, University of Zagreb Faculty of Geodesy for work on the HRZZ project "Urban heat islands
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work environment by offering on-site (in office 5 days a week), hybrid (in office a minimum of 2 days a week or defined by manager), remote (work off-site 5 days a week), and flexible start and end time
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of solution platforms for integrating spatial and temporal information, harnessing remote sensing data, using climate information, understanding fuel accumulation and running physics-based or data-driven
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, age or protected veteran status. To view the University of California’s Anti-Discrimination Policy, please visit: https://policy.ucop.edu/doc/1001004/Anti-Discrimination Because we want you to feel seen
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our kaimahi grow and feel connected, supported and valued. For more information, please visit us: https://www.canterbury.ac.nz/about-uc/work-at-uc/benefits-working-uc For more information about Te Whare
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clinical monitoring relies on periodic, clinic-based assessments and subjective self-reporting, which fail to capture daily fluctuations or real-world performance. Recent advances in wearable sensing and
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 11 hours ago
2) I-485 or I-589 forms in pending status Questions about this opportunity? Please email npp@orau.org Qualifications Desired Qualifications We seek a motivated researcher with a PhD in remote sensing
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for Environmental Humanities Education in Centennial Valley, Montana, seeks a Program Specialist for the spring/summer/fall season (April-October on site in Montana and 2 months working remotely, preferably in
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the European Research Council (ERC). The CALIX project seeks to develop, test and implement a new stochastic calving law using a range of remote sensing, statistical and modelling techniques, and to apply
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 24 hours ago
should have a strong background in data science, machine learning, remote sensing, wildfire science, or a related field. Experience with deep learning frameworks, satellite observations (e.g., Sentinel