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Field
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collaboration with the division of Geoscience and Remote Sensing at Chalmers. The project is funded by the European Research Council (ERC) under the MIXCLOUDS project, with the following objectives: -Advance our
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consists of four departments with 130 tenure-track faculty members, 1250 undergraduate students, 1400 master’s students, and 600 PhD students. Housed within a university renowned for its programs in
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the core research activities of the project. Responsibilities include assembling and harmonizing large datasets from experimental trials, remote sensing, soil health databases, and farmland markets
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present results at conferences and workshops. Mentor master students and PhDs Qualifications: Ph.D. in Remote Sensing, Geospatial Science, Environmental Science, Data Science, or related field. Strong
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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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hydrology, remote sensing, or climate impact assessments. Candidates with interdisciplinary backgrounds are welcome, but strong data-analytics skills and solid knowledge of process-based numerical modelling
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 21 hours 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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Engineering, Environmental Science, or a related field, preferably with expertise in large-scale catchment hydrology, remote sensing, or climate impact assessments. Candidates with interdisciplinary backgrounds
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. The research methodology for this position involves utilizing a Large-Eddy Simulations (LES) code of turbulent clouds in collaboration with the division of Geoscience and Remote Sensing at Chalmers. The project
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 7 days ago
profile Your Scientific Qualifications PhD degree in Biology / Life Sciences / Biotechnology / Biochemistry or related fields Excellent publication record, preferably with at least one first-author