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Professorship of Remote Sensing Applications (https://www.asg.ed.tum.de/rsa), Department of Aerospace and Geodesy, TUM School of Engineering and Design, focusses on methodological research on the analysis and
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are rapidly evolving – ranging from remote sensing and automated sensors to genetic techniques and classical field-based inventories. This PhD project focuses on how biodiversity in forests can be measured
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Master's degree in Earth Sciences, Geography, Physics, Environmental Sciences, Meteorology, or a related field. Passion for atmospheric remote sensing, chemical transport modelling, and data science. Solid
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funded by the Grains Research & Development Corporation (GRDC). The project is led by CSIRO with the University of Sydney leading the component on the assessment of soil health using remote sensing
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: Biodiversity is a fundamental prerequisite for the ecological functioning, resilience, and long-term sustainability of forests. At the same time, new methods are rapidly evolving – ranging from remote sensing
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rolling basis with start dates as early as 1/1/2026 and as late as 3/1/2026. Group or Departmental Website: https://simpsoba.su.domains/ (link is external) How to Submit Application Materials: Please upload
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Paulo Research Foundation, exhibits a strong interdisciplinary character, with activities involving remote sensing, artificial intelligence, and the use of sensors for real-time irrigation monitoring and
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of hire. The required degree must be in the fields of agricultural science, machine learning, remote sensing of environment, ecosystem analysis, micrometeorology, quantitative modeling, or relevant fields
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EUMETSAT - European Organisation for the Exploitation of Meteorological Satellites | Darmstadt, Hessen | Germany | 21 days ago
. In the EUMETSAT matrix organisation, the Remote Sensing and Products (RSP) division of the Technical and Scientific Support (TSS) department provides science support to the development and operations
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epidemiology, quantitative geography/remote sensing, ecology, statistics, engineering, data science, quantitative social sciences, or a related discipline. Experience in developing models and mapping with real