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Field
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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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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | 26 days 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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(e.g., Python, R, SQL) is an advantage, experience with big data, remote sensing, modelling, or automation of analytical processes is welcome. LanguagesENGLISHLevelGood Research FieldGeographyYears
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, underwater gliders, micro-AUVs, and ship-based sampling), remote sensing products, and high-resolution numerical models. The work will improve understanding of coastal ecosystem variability, support better
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of Photogrammetry and Remote Sensing and together with other chairs being part of the RTG. Requirements: good or very good university degree in electrical engineering, computer science, computer engineering or
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: Bioclimatology Forest Inventory and Remote Sensing Forest Botany and Tree Physiology Ecoinformatics, Biometrics and Forest Growth Forest Genetics and Tree Breeding Forest Policy and Forest History Forest Work
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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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to join our world-leading research program in robotics, remote sensing, and data-driven approaches for sustainable agriculture. PhenoRob’s mission is to transform crop production by optimizing breeding and
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of Photogrammetry and Remote Sensing and together with other chairs being part of the RTG. Requirements: good or very good university degree in computer science, mechatronics, robotics, electrical engineering, or a