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Are you passionate about integrating agronomic, genomic, and remote sensing data to better understand plant stress, disease progression, and crop resilience? Do you enjoy working across field campaigns
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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 impact? We are currently
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: Less than Annual Appointment (Fixed Term) Work Shift: Sponsorship Available: No Institution Name: University of Arkansas Grantham As an employer, the University of Arkansas Grantham offers a remote work
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/user support across both programs. Responsibilities Support an active user community, including in-person and remote users from NSF, NIH, Industry and Academia, who are engaged in employing x-ray
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on the interest in and/or pre-existing experience of the PhD candidate with numerical modelling. Your work will include experimental design and data analysis, field data analysis, remote sensing analysis, modelling
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: This position will be a one (1) year full-time term limited appointment with the possibility of renewal. Integrate survey and administrative datasets with environmental data (e.g., remotely sensed
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access to state-of-the-art infrastructure. Supervision by PD Dr. Gerrit Kuhlmann, with joint affiliation to the Remote Sensing Laboratories at the University of Zurich. The PhD degree will be awarded by
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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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that shape our 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
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plumes, surface temperatures, and calving events by combining ground-truth measurements with remote-sensing data. A new Earth-observing CubeSat mission, DISCO2, will launch in 2025 into a sun-synchronous