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Corporation (GRDC). The project is led by CSIRO with the University of Sydney leading the component on the assessment of soil health using remote sensing. The postdoctoral position will be based in
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combining space-based remote sensing and modeling, it aims to better understand the evolution of forest fuels and their role in fire propagation. Tested on pilot forest areas (Centre-Val de Loire and Pyrénées
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 3 hours ago
and analyze data from our INSTEP network in conjunction with others. Sensor data fusion along with remote sensing instruments (Pandora, AERONET) and satellites (TROPOMI, TEMPO) will serve to validate
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to make a difference. If this sounds like you, you’ve come to the right place! Responsibilities: Conduct original research on joint communications and radar sensing for spaceborne systems, with a focus on
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research on plant ecology in arid, semi-arid, and dry, sub-humid environments. The lab uses a variety of field ecological, remote sensing, and laboratory-based approaches to assess vegetation growth and
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contract is based on § 2 WissZeitVG. Your Tasks: You will conduct research in the field of experimental atmospheric physics, with a focus on optical remote sensing of the atmosphere up to the edge of space
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-solution fit project in collaboration with QM Innovation and external consultants; R&D work on technical workflows and automation for remote sensing approaches to facilitate scaling of nature-based solutions
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funded by the Grains Research & Development Corporation (GRDC). The project is led by CSIRO with the University of Sydney leading the component on the assessment of soil health using remote sensing
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Phenomic prediction programs that incorporates genotype (genotype by sequence) and phenotype data (from traditional and high throughput, remote sensing sources) -Use or develop R programming code to complete
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initiatives will also be important. Informal enquires can be made to Professor Stefano Mariani: s.mariani@ljmu.ac.uk Anticipated Interview date (remote): 22nd January 2026 In return, we offer an excellent