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Field
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/Biology Description: The Department is looking for a PhD student within the area of remote sensing of forest. Using remote sensing the PhD student will develop methods to quantify fire severity and analyze
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subject: Technology/Forest management/Biology Description: The Department is looking for a PhD student within the area of remote sensing of forest. Using remote sensing the PhD student will develop methods
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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | about 1 month ago
First Stage Researcher (R1) Positions PhD Positions Country Spain Application Deadline 30 Jan 2026 - 00:00 (Europe/Madrid) Type of Contract Temporary Job Status Full-time Is the job funded through the EU
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7 Dec 2025 Job Information Organisation/Company Faculty of Science, Charles University Research Field Computer science » Other Geography » Cartography Technology » Remote sensing Researcher Profile
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skills in remote sensing, AI, ecological modelling, and policy engagement, working across disciplines and continents. The project includes an industrial supervisor to support non-academic training and
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its maintenance and safety increasingly depend on data. This PhD project will develop new methods that combine remote sensing, physics-based modelling, and Bayesian machine learning to support risk
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Scholarship (BIPD) to holders of a PhD degree obtained in less than 3 years within the scope of the project 3D-FIRST-“Enhanced Forest Inventory Metrics through Advanced Remote Sensing Technologies”, taking
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, institutional analysis, and resource-use conflicts. The Departments of Human Geography, Physical Geography and Cartography, GIS and Remote Sensing are closely linked with the Centre for Biodiversity and
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, using QUASI observations for validation and pushing the frontier of coupled modeling at submesoscales. Where, how, and with whom you’ll work Both PhDs will join the Geoscience and Remote Sensing
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managed boreal forest landscapes. The research will be done in terrestrial ecosystems. It aims to include experimental and observational studies (e.g. using field, lab, remote sensing data) along