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wireless communications systems. For details, you may refer to the following: https://wwwen.uni.lu/snt/research/sigcom We’re looking for people driven by excellence, excited about innovation, and looking
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their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will be part of LIST’s Remote sensing and natural resources modelling group Embedded in
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 18 days ago
consider one or multiple subtopics that our group is particular interested in and invests on: (1) ice microphysics remote sensing from infrared to microwave spectra (TIR, FIR, sub-mm, MW); (2) cloud
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-impact journals and present research at international conferences. Your Profile Requirements: Education: PhD in Remote Sensing, Environmental Engineering, Geoinformatics, Telecommunications, or a related
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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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on remote sensing of air quality. Emphasis will be placed on using satellite observations to understand the impacts of wildfires and prescribed burning on air quality. The candidatemust have a Ph.D. in a
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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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of a PhD in epidemiology or public health related field Demonstrated success in implementing innovative community-based interventions. Track record of publications in peer-reviewed journals, preferably
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plus and will help you engage effectively with local communities and operational partners. Where, how, and with whom you’ll work You will join the Geoscience and Remote Sensing department at TU Delft
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water quality parameters and predict cyanobacteria blooms in the Tietê system reservoirs. Activities: 1. Develop machine learning models for estimating water quality parameters via remote sensing; 2