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methods and tools for adaptive, AI-driven embedded algorithms to support real-time analytics and decision-making in IoT, wireless communication, and remote sensing systems Collaborate with multidisciplinary
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award. Wolfson School of Mechanical, Electrical and Manufacturing Engineering Full Time, Fixed Term until 31 January 2028 This role is not suitable for remote working and is office based only as it is
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future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful
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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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or applying machine learning or automated detection methods. Experience working with passive acoustic monitoring data; familiarity with other sensor-based data (e.g., camera traps, remote sensing) is also
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or applying machine learning or automated detection methods. Experience working with passive acoustic monitoring data; familiarity with other sensor-based data (e.g., camera traps, remote sensing) is also
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-impact journals and present research at international conferences. Your Profile Requirements: Education: PhD in Remote Sensing, Environmental Engineering, Geoinformatics, Telecommunications, or a related
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related field • Strong quantitative background (e.g. ecological theory and mathematical modeling, hierarchical statistical modeling, machine learning, remote sensing, geospatial statistics) • Demonstrated
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of remote sensing, improving forecasts of weather, climate and snowpack, and will contribute to Texas Forecast Informed Reservoir Operation Pilot. Required Qualifications PhD in Hydrology, Meteorology
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | about 1 month ago
flexible working models and remote options create a supportive environment for balancing work and family life. For us, contributing to a healthier society in such an inspiring workplace is truly meaningful