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Remote Sensing; Machine Learning Models for Predicting Wildfire Spread; Wildfire Risk Assessment Through Multi-Modal Data Integration; Automated Vegetation and Fuel Load Mapping Using Computer Vision; AI
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, using QUASI observations for validation and pushing the frontier of coupled modeling at submesoscales. Where, how, and with whom you’ll work Both PhDs will join the Geoscience and Remote Sensing
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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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experimental design and data analysis, field data analysis, remote sensing analysis, modelling (potentially), scientific writing, training in scientific communication and public outreach, and the preparation
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| Start: 01.04.2026 | ID: MDO002/2026 | Deadline: until position is filled | Part-time | Remote work possible DESY, with more than 2900 employees at its two locations in Hamburg and Zeuthen, is one
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based within the Supporting Transition and Employment Pathways Research Lab (STEP; https://step-lab.ssw.umich.edu/ ), an interdisciplinary research group dedicated to advancing disability inclusion by
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to environmentally friendly and sustainable food from ruminants. This includes agronomic research, agricultural systems assessment, and applied remote sensing. The group provides teaching at both undergraduate and
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(e.g., Python, R, SQL) is an advantage, experience with big data, remote sensing, modelling, or automation of analytical processes is welcome. LanguagesENGLISHLevelGood Research FieldGeographyYears
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clinical monitoring relies on periodic, clinic-based assessments and subjective self-reporting, which fail to capture daily fluctuations or real-world performance. Recent advances in wearable sensing and
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: Biodiversity is a fundamental prerequisite for the ecological functioning, resilience, and long-term sustainability of forests. At the same time, new methods are rapidly evolving – ranging from remote sensing