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proposes to combine in situ and remote sensing data, radiative transfer models, and chemical and physical analytical methods to better understand the fundamental properties and the impact of mineral dust
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of programming or scripting languages such as Python, Fortran, R or others. Experience in remote sensing data analysis and geographic information systems. Experience in machine learning motivated algorithms and
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value, the research will benefit many applications, such as biomedical therapy, remote sensing, antenna/filter theory, and inverse problems in physics and engineering. Good working knowledge in most
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 2 months ago
cadre of satellite and airborne remote sensing platforms, termed ‘plume imagers,’ is demonstrating increasing ability to detect geologic emissions of CH4 and CO2 emissions from space. Unlike ‘area mappers
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the candidates will work under a EUROfusion project on remote maintenance of fusion power plants. The starting date is 01.12.2025 or as soon as possible thereafter. The workplace is at SDU's main campus in Odense
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(generative models, real-time dashboards). Data analysis and geospatial tools (QGIS, ArcGIS, remote sensing). Visualization and communication tools (Adobe Creative Suite, Blender). Language & other skills
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will benefit from the various skills in tropical ecology, vegetation modelling, and remote sensing of a large and enthusiastic team of collaborators. Where to apply Website https://emploi.cnrs.fr
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 2 months ago
policy Experience with remote sensing and spatial-modelling tools (e.g., GIS) Supervisory or teaching experience Experience in setting up and managing collaborative relational database Further information
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Experience with satellite remote sensing, including both optical and radar techniques Experience in conducting field campaigns Expertise in data processing and inverse modeling techniques The ability
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that diversity is the key to groundbreaking research and innovative solutions. Our flexible working models and remote options create a supportive environment for balancing work and family life. For us