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interest, narrowing the scope to natural or cultural sites, and integrating diverse remote sensing datasets. The supervisory team offers interdisciplinary expertise in geospatial analysis, machine learning
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") team of the laboratory. Supervisory Team: The project is supervised by Malgorzata Chmiel (Géoazur, CNRS) and Jean-Paul Ampuero (Géoazur, IRD). The PhD student will work in close collaboration with Margot
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background in physics and mathematics with a good grounding in geophysics, remote sensing and data analysis. Candidates must have a Master’s degree in geophysics, signal processing or physics, and a PhD in
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seven departments: Materials Mechanics Management & Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport & Planning, Hydraulic Engineering and Water
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in international research visits if needed. We are looking for a highly motivated researcher with: A PhD in machine learning, computer vision, remote sensing, glaciology, climate science, or a related
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: Less than Annual Appointment (Fixed Term) Work Shift: Sponsorship Available: No Institution Name: University of Arkansas Grantham As an employer, the University of Arkansas Grantham offers a remote work
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research, optimization, network programming and routing Optical metrology for surface texturing and imaging Remote sensing and photogrammetry Drone mapping Surveying with total station LiDAR and Optical
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methods to NIR spectrum analysis; experience in the use of satellite data and remote sensing tools in the assessment of vegetation condition (e.g. calculation of the NDVI index
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to Singapore’s strategic priorities in space science and remote sensing. Key Responsibilities: Lead and execute the research project with minimal oversight, from hypothesis formulation to publication. Design and
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future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful