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Field
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advanced planning and control algorithms, real-time and energy-efficient sensing, and distributed perception. Its research is applied across diverse sectors, including agriculture, manufacturing and remote
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
with related fields, including marine biogeochemistry, physical oceanography, environmental genomics, remote sensing, ecological modeling, and/or data science (AI and machine learning). We
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sensing. Profile PhD in Computer Vision Background in Computer Science Research experience in 3D Computer Vision, remote sensing and aerial imagery Strong computational and analytical skills, as
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the field, model development, remote sensing analyses, analyses of timber production, economic and policy data and documents, development of forestry cost functions, or surveys of forest owners. The project
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Neuroimmunology Research Group/Cemcat is seeking to recruit a talented candidate to join our team and undertake a PhD. More information about our group can be found at: https://vhir.vallhebron.com/ca/recerca
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Change Adaptation (CCA) simulations and activities in urban environments. The PhD project should leverage multi-scale geospatial data (remote sensing/aerial imagery, point clouds, maps, etc.) and GeoAI
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 7 days ago
Science, remote sensing, oceanography, or equivalent Experience with Mitgcm, satellite data processing, and in-situ data analysis preferred. Understanding of the processes happening at the ice-ocean
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Room is open to the public and does not require appointments, and undertakes significant remote reference and digitization year round. KU’s excellence is a result of the rich tapestry of experiences
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). Experience with radar measurements, remote sensing, glaciology, or scientific programming is an advantage but not a requirement. Proficiency in English is required. We value curiosity, initiative, and an
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change, and other environmental challenges in Southeast Asia. Its key strengths include interdisciplinary expertise, advanced geophysical and remote-sensing capabilities, extensive regional field