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Published: 2024-01-19 PhD student in Earth Sciences Specialization in remote sensing and snow physics Are you interested in working with remote sensing and snow physics, with the support of
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the 3D Discrete Anisotropic Radiative Transfer (DART) model to disentangle the functional (photosynthetic) and structural (architectural) contributions to forest canopy SIF derived from remote sensing
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Job Description We are searching for a postdoctoral researcher in the Hydrologic Innovation and Remote Sensing Lab of the Geoscience Department, Virginia Tech. The NASA-funded research includes a
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awarded 1 Eligible courses Any applicable Curtin HDR courses. Eligibility criteria Honours / Master’s degree or equivalent qualification in a relevant area (e.g., satellite ocean colour remote sensing
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of vegetation health. Translate insights gained to the exploitation of current radar satellite missions. You will be supervised by Professor Susan Steele-Dunne, an expert in microwave remote sensing of vegetation
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Tufts University, Urban and Environmental Policy and Planning Department | Medford, Massachusetts | United States | about 2 hours ago
and deep machine learning are preferred but not required. Successful candidate is required to have a PhD with a quantitative background and first authored peer-reviewed publication(s) in remote sensing
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HORIZON EUROPE - MARIE SKŁODOWSKA-CURIE ACTIONS - DOCTORAL NETWORKS GNSS-R SATELLITE EARTH OBSERVATION (GLITTER) The Geophysics and remote Sensing (GRS) Laboratory is dedicated to addressing
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, seasonal/annual greening variations, and greening mechanisms on the mountain water balance. To achieve this, you will conduct field and remote sensing studies in a small mountain catchment in the Swiss Alps
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Aerospace Engineering, or Telecommunication Engineering, or Remote Sensing Engineering, or Electronics Engineering, or Mathematics, or Physics, or related disciplines. Candidates at their final stage of a PhD
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coupling plants, biogeochemical cycles, ecosystems, and environmental conditions, and/or statistical analyses of large datasets, including from remote sensing, as well as strong quantitative and programming