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education and research in the areas of forest planning, forest remote sensing, forest inventory and sampling, forest mathematical statistics and landscape studies. The department is also responsible
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Department of Forest Resource Management The Department of Forest Resource Management conducts education and research in the areas of forest planning, forest remote sensing, forest inventory and
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: Experience with remote sensing analysis, geographic information system, or flood mapping and analysis. Experience with geospatial data management. Knowledge of cloud-based applications. Preferred
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Institut Lumière Matière ILM- UMR 5306 CNRS / Université Claude Bernard Lyon 1 | Villeurbanne, Rhone Alpes | France | 5 days ago
-frequency SAWs remotely without the need of interdigitated piezoelectric transducers. This biosensor aims to enable fast and efficient detection of cellular and biomolecular processes, including specific
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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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with partners worldwide. Satellites are increasingly used to monitor events and processes on Earth. Thermal-infrared (TIR) remote sensing with satellites can be used to detect fires, evaporative cooling
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. Tasks: · Working with supervisor, define the training modules, tools, processes, etc. that are necessary · Work remotely or onsite as needed to complete the training Minimum Qualifications
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scales, the important demand for mining the critical minerals present in the region, and/or the ethical aspects around the water resources and their usage. Apply tools developed in remote sensing to answer
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. Preferred requirements: Preference will be given to candidates with experience in spatial ecology, biogeography, geographical information systems, remote sensing, ecological niche modelling, R, and Google
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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