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relevant to the position. Research Fellow I: PhD from an accredited institution in Agronomy, Crop Science, Soil Science, Agricultural Engineering, Data Science, Remote Sensing, or a closely related field; no
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interpretation, and the dissemination of research outcomes through scientific publications and project reports. PhD in computer science, artificial intelligence, computer vision, image processing, remote sensing
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to secure long-term project financing. Sector Collaboration: Collaborate closely with partners in the Swedish forest sector to ensure research relevance. Your profile Required: A PhD in Forest Remote Sensing
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this framework, we are looking for a motivated PhD researcher who will work across KU Leuven and the University of Essex, at the interface of urban ecology, remote sensing, environmental epidemiology and data
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biogeochemical cycling, individual PhD projects can involve aspects of (geo-)microbiology, soil science, atmospheric measurement techniques, atmospheric transport models, terrestrial and atmospheric remote sensing
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 20 days ago
the surface properties of the Asal-Ghoubbet rift by massive inversion of the Hapke model on Pleiades multiangular images. Remote Sensing of Environment 322, 114691. https://doi.org/10.1016/j.rse
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related to staff position within a Research Infrastructure? No Offer Description Research areas: aerial robotics, advanced sensing and multi-source remote sensing, drones In the University of Burgos we
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Join the Communication Systems Group (Dept. of Electrical Engineering) to advance AI for 6G localization and sensing. We seek a postdoc in AI/ML to develop robust learning and inference methods
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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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skills (including 3D modeling) and remote sensing • Advanced field data collection skills • Intermediate statistical data processing skills • Previous volunteer experience in research activities Specific