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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
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research in a wide range of academic fields, Ghent University is a logical choice for its staff and students. The MarSens (Marine Optics and Remote Sensing group, https://www.marsens-ugent.be/ ) investigates
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, and advanced hydrologic modeling to projects in flood forecasting, remote sensing data assimilation, hydraulic modeling, environmental flows, and decision-support systems. The role involves developing
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around 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
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 3 days ago
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Job description:Postdoc (f
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working at University of California Riverside More Jobs from This Employer https://main.hercjobs.org/jobs/21923204/postdoctoral-scholar-in-remote-sensing-of-biotic-stress Return to Search Results
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | about 4 hours ago
in physical sciences or engineering-physics, experience with retrieving vertical profiles of constituents in the stratosphere with passive remote sensing techniques and excellent written and verbal
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inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. We are seeking a talented and ambitious Postdoctoral Researcher in Remote Sensing of Peatlands
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communication skills. • Track record of conducting original research and publishing in peer-reviewed scientific journals. Preferred Qualifications • Experience in remote sensing or machine learning applications
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developing methods/tools that use multi-source remotely sensed data. The research aims to improve our understanding of the integrated functioning of continental surfaces and their interaction with climate and