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] Y. Ren, B. Liu, B. Liu, Z. Liu, P. Jiang, Joint Inversion of Seismic and Resistivity Data Powered by Deep Learning, IEEE Transactions on Geoscience and Remote Sensing, 62, 5929614, 2024. https
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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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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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programme of research and collaborate effectively across disciplines. Essential: • A completed PhD in a relevant field (e.g., applied mathematics, statistics, geophysics, remote sensing, physical
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installation. Your role will be to provide the historical context of glacier change in this region. You will primarily use satellite remote sensing to pursue this aim, but you will also organise and, if desired
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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 | 28 days ago
Télédétection (section hyperspectrale) SFPT – GH 2025 The PhD work focuses on Bayesian methods to estimate physical parameters from large volume and high dimensional remote-sensing measurements. Because
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natural range of variability in sediment concentrations on the Neosho River at non-gaged locations via remotely-sensed satellite data and (2) determine flow/SSC release thresholds that will not result in