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The Department of Astronautical Engineering is seeking a Part-time Lecturer to teach ASTE-553: Systems for Remote Sensing from Space. The applicant must have a PhD degree in an Engineering
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We are looking for a Research Engineer who would like to establish themselves at our Division of Forest Remote Sensing (FRS) in the long term, with tasks evolving into the support of research in
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polar ocean planktonic ecosystems and biogeochemistry to climate change. Research duties will include a mix of data analysis, numerical model development, and satellite remote sensing. The postdoctoral
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should have recently completed or be nearing completion of a PhD in environmental data science, soil science, earth system science, ecology, remote sensing, computer science, or closely related field
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with scientists from this highly multidisciplinary research community at the interface of physics and biology. Expertise in statistical physics and/or soft matter is a plus. APS has a “remote first
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with scientists from this highly multidisciplinary research community at the interface of physics and biology. Expertise in statistical physics and/or soft matter is a plus. APS has a “remote first
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 hour ago
/2024 6:00:59 PM Eastern Time Zone Description Description: Remotely sensed estimates of aboveground biomass (AGB) are important inputs to ecological and climate modeling. They have evolved over the last
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with expertise in remote sensing. The successful candidate will be expected to teach courses in introductory remote sensing (2-3 courses per year), advanced remote sensing, LiDAR theory and applications
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of soils and vegetation, plant physiology and remote sensing. Students from diverse backgrounds are encouraged to apply. Funding Notes This PhD is funded by The RHS and Greenwood Plants. First class or upper
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Assist. Prof in Next-Generation Approaches of Remote Sensing for Applications to Digital Agriculture
Assist. Prof in Next-Generation Approaches of Remote Sensing for Applications to Digital Agriculture Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher