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to Physical Geography, Introduction to Physical Geography Lab, Environmental Remote Sensing, and a GIS elective. The Department emphasizes engaged teaching, applied research, and close mentorship to further our
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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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seagrass data Knowledge of GIS, remote sensing or ecological modelling Experience in linking scientific research with environmental policies Scuba diving certification at the rescue diver level Ability
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 1 month 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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skills (including 3D modeling) and remote sensing • Advanced field data collection skills • Intermediate statistical data processing skills • Previous volunteer experience in research activities Specific
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atmospheric sciences • Knowledge of cloud or aerosol physics • Experience in algorithm development and satellite remote sensing • Good written and spoken English • Ability to work independently as well as in a
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their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will be part of LIST’s Remote sensing and natural resources modelling group Embedded in
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selection criteria You must have a relevant Master's degree in electronics, RF communications, remote sensing/radar, signal processing, aerospace or equivalent. Your course of study must correspond to a five
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, localization, and remote sensing. Duties We like to welcome an enthusiastic and adaptable PhD candidate to join our interdisciplinary research group related to innovative methodologies for fast and low-cost