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monitoring agricultural emissions across Africa using satellite remote sensing, atmospheric modeling, and deep learning. Research Focus Estimate cropland emissions (NH3, N2O, CO2, CH4) using satellite
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larger Vici project funded by the Dutch Research Council. FireSky is an interdisciplinary project combining field, remote sensing and modeling approaches to study feedbacks between climate warming
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 20 hours ago
or Geoinformatics, or related areas and to be enrolled PhD. Candidates will be assessed according to the project team’s needs regarding geospatial data and remote sensing for analysis, interpretation, and application
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size, organic carbon and developing geochronologies will also be beneficial. Applicants with skills using remote sensing techniques such as LiDAR to monitor sediment transport and dynamics are also
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and human activities. CESBIO scientists make extensive use of remote sensing technologies to monitor environmental changes across spatial and temporal scales and to develop models that address key
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-processing and analysis of cardiac imaging studies. Close collaboration with technical researchers within the cardiovascular imaging unit. Where to apply Website https://jobs.vhir.org/jobs/7511897-clinical
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and defend the results obtained in national and international scientific meetings Supervise PhD and Master students as well as students in practices and internships Where to apply Website https
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systems for remote operation. Secondment opportunities University of Roma Tor Vergata, Pervasive Electromagnetics Lab http://www.pervasive.ing.uniroma2.it/index.html Co-supervisor: prof. Gaetano Marrocco
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 7 hours ago
marine planktonic ecosystems. For example, the 2019-2020 Australian wildfires triggered widespread phytoplankton blooms, evidenced in chlorophyll data obtained from satellite remote sensing and in situ
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scale is based on the analysis of seasonal patterns at the European scale of the remotely sensed spectral index (PPI) at multi temporal scale in wild fruit stands. In-situ phenotyping of CWR at the tree