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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 19 hours ago
ability to design experiments and evaluate models rigorously. Experience with remote sensing modalities such as LiDAR and optical imagery is important, and familiarity with GEDI, Landsat/HLS, biomass
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research unit. The selected candidate may also be involved in additional activities or projects within the Centre, depending on organizational needs. Where to apply Website https://jobs.fbk.eu/Annunci
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measurements; Collaborate with multidisciplinary teams to integrate remote sensing data with field observations and other datasets; Publish research findings in high-impact peer-reviewed journals and present
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functional molecular or nano-scale systems that can be remotely controlled, notably by light. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7053-PHIPIE-002/Candidater.aspx Requirements
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Europe".The research activity focuses on spatial analysis and remote sensing applied to the study of soil degradation and erosion processes, with particular attention to identifying patterns, assessing
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of aerosol characterisation using the synergy between remote sensing and in-situ methodologies. The successful candidate will mainly focus on mineral dust and on the Eastern Mediterranean and Middle East (EMME
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growing across an array of common gardens in the California Sierra Nevada that are part of the Adaptive Management Experiment (https://www.adaptive-forest-management-experiment.com/ ). Relevant phenotypes
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Postdoc Appointment Term: 2026-2028 Appointment Start Date: Early 2026 Group or Departmental Website: https://med.stanford.edu/bronte-stewart-lab.html (link is external) How to Submit Application Materials
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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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: 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