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algorithm-driven sensing systems, remote sensing and multi-modal sensor integration Applicants do not need to cover all areas listed above but should bring strong expertise in at least one and a broad
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that shape our 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
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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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Funded: No Compensation Details: Starting Pay - $37,900 Work Hours: Monday - Friday 8:00am - 5:00pm Remote Eligible: This position is not eligible for remote work Special Instructions to Applicant: Job
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: No Compensation Details: Starting Pay - $45,900 Work Hours: Monday - Friday 8:00am - 5:00pm Remote Eligible: This position is not eligible for remote work Special Instructions to Applicant: Job Summary: This role
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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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around several major areas that aim to ensure the challenging Food and Water security goal in Africa, with a special focus on developing methods/tools that use multi-source remotely sensed data
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, youth, and families. Positions with Innovations Institute are fully remote with expected travel to UConn’s Hartford Campus once a year at the employee’s expense. DUTIES AND RESPONSIBILITIES Provides
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 21 hours ago
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, contributing to a
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Leipzig, Sachsen | Germany | about 21 hours ago
research and innovative solutions. Our 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