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Network. https://www.eu4greenfielddata.eu/ ***Double Degree PhD Scholarship in Computer Science Opportunity: "Optimization-simulation coupling for the GHG emission estimation based supervision and
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on the interest in and/or pre-existing experience of the PhD candidate with numerical modelling. Your work will include experimental design and data analysis, field data analysis, remote sensing analysis, modelling
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can actually use. You’ll work with tools like ESRI, Google Earth, GPS (RTK/PPK), remote sensing, and GeoAI to collect, analyze, and visualize real-world data—both at your desk and out on the tundra
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of Photogrammetry and Remote Sensing and together with other chairs being part of the RTG. Requirements: good or very good university degree in electrical engineering, computer science, computer engineering or
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/Biology Description: The Department is looking for a PhD student within the area of remote sensing of forest. Using remote sensing the PhD student will develop methods to quantify fire severity and analyze
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to join our world-leading research program in robotics, remote sensing, and data-driven approaches for sustainable agriculture. PhenoRob’s mission is to transform crop production by optimizing breeding and
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PhD Program in Hydrological Science . Geology & Geophysics - Integration of remote sensing, geophysics, and AI for Earth and environmental systems, energy, and mineral resources (https://www.uwyo.edu
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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
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, modeling and Remote-sensing to Transform carbon budgets, CLARiTy’ (https://www.schmidtsciences.org/vicc/) will reduce the persistently high land flux uncertainties in GCB by an order of magnitude. To achieve
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 3 hours ago
-peter-lab-index.html Your tasks Building large scale foundation models Applying and further developing single cell segmentation methods Supervising a small team of PhD and MSc students Developing new