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Field
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Technologies (BEST) Group led by Prof. Ravinder Dahiya. BEST group aims to bring fundamental changes in the way the sensors and electronic devices are developed using materials designed for sustainability, and
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complementary satellite data (e.g. multispectral, multi-frequency SAR sensors) to improve the characterization of forest structure, biomass and deforestation dynamics at various scales. Development
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advances in 3D vision, AI-driven detection, and multimodal sensor integration (RGB, RGB-D, LiDAR), and digital twins. The postdoctoral fellow reports to Dr. Vedhus Hoskere in the College of Engineering/Civil
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and training. -Support processing and integration of datasets, including UAV imagery, satellite data, IoT sensor data, and field observations. -Contribute to workflows for AI/ML applications, crop
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project funded by the São Paulo Research Foundation (FAPESP) through grant number 2023/00246-1 . The project aims to develop wearable sensors integrated into smart wearable devices for real-time monitoring
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characterization and large-scale component testing, including the setup and use of conventional and advanced sensing technologies (e.g., displacement/strain sensors, DIC, fiber-optic sensing). Analyze experimental
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, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors
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; Knowledge regarding FET sensors in microfluidics is a plus. Personal Skills “Hands-on” approach together with a high commitment in respecting deadlines; Analytical mindset with a proactive approach to problem
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-DIGITALEMERGING)" with the functions of junior research staff of group A, subgroup A1. Specific Development of distributed fibre sensors compatible with telecommunications networks. An important part of the work
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experience in Python, C++, MATLAB, or LabVIEW. Brief Description of Duties (Postdoctoral Associate): The selected candidates will join the Atmospheric Remote Sensing Group , a leader in innovative multi-sensor