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The Department of Geosciences and Natural Resource Management invites applicants for two PhD fellowships in Remote Sensing and Deep Learning for understanding woody ecosystem response to climate
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QUALIFICATIONS PhD in Ecology, Geography, Environmental Science, or a closely related discipline. Demonstrated specialization in remote sensing and spatio-temporal environmental data analysis. Strong programming
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the field to inform farmers of varying soil conditions through traditional remote sensing techniques. For further Information, please email p.stowell@sheffield.ac.uk or look at the University’s website: https
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observed pipe failures, and interpreting indirect observations from remote sensing platforms such as drones and satellites. Another challenge is linking these observations to physical processes affecting
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relevant to the position. Research Fellow I: PhD from an accredited institution in Agronomy, Crop Science, Soil Science, Agricultural Engineering, Data Science, Remote Sensing, or a closely related field; no
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approaches. The research will also design a European-scale turbidity and sediment monitoring framework combining in situ observations and satellite remote sensing. Where to apply Website https://jobs.unibas.ch
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The Department of Environmental Science at Aarhus University (AU-ENVS), Roskilde, invites applications for a 2-year position as postdoc in satellite remote sensing and land-use modeling of grassland
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the Collaborative Doctoral Partnerships programme, training researchers at the science-policy interface. Where to apply Website https://jobs.unibas.ch/offene-stellen/phd-position-ai-driven-pathways-to-health
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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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Environmental Science (Ref: FST260108) Job Description Candidates with expertise in the following areas: atmospheric science and pollution control, sustainable technology and science, remote sensing technology