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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
fellows to work on a project funded by the US Department of Agriculture under the supervision of Prof. Conghe Song. One post-doc will focuse on remote sensing of vegetation, and the other will focus
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., Teodoro, P. E., ... & da Silva Junior, C. A. (2023). Nutritional monitoring of boron in Eucalyptus spp. in the Brazilian cerrado by multispectral bands of the MSI sensor (Sentinel-2). Remote Sensing
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peacetime. Today, significant advancements in nuclear technology, autonomous weapons, artificial intelligence, remote sensing, cyber technology, hypersonic vehicles, additive manufacturing, stealth, precision
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interdisciplinary collaboration with researchers, institutions, and stakeholders Candidate Profile Required Qualifications PhD in Remote Sensing, Geospatial Sciences, Environmental Science, Climate Science, Data
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analysis by integrating diverse datasets (e.g., in situ observations, remote sensing products, model simulations) to inform model development, calibration, and validation. Collaborate with a
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models/tools. Experience with large, varied datasets. Experience working with soil, water, and plant sensors and remote sensing technology. Other Requirements: This position requires physical activities
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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, atmospheric signals), data fusion across sensing modalities, and development of scalable machine learning pipelines. Work will be entirely computational and based in Seattle, with no field deployment
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. Our University Strategy is built on three pillars of research, education and wider student experience, but also on our keen sense of community and of inspiring others to achieve their potential. Our
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several major areas that aim to ensure the challenging Food and Water security goal in Africa, with a special focus on developing methods/tools that use multi-source remotely sensed data. The research aims