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Field
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Institute of Systems and Robotics, Faculty of Sciences and Technology of the University of Coimbra | Portugal | 15 days ago
the terrain, vegetation cover, buildings, and infrastructure, as well as the meteorological environment that can influence wildfires, using sensor data gathered from a variety of sources, including satellites
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– ‘“Seeing through clouds” satellite remote sensing by unifying optical and SAR sensors’. Qualifications Applicants should have a doctoral degree or an equivalent qualification and must have no more than five
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of human-robot interaction and participatory design, particularly in clinical settings or involving older adult populations. Your technical expertise includes integration of wearable sensors for real
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is challenging. Static sensors only measure one point in space, but sensors mounted to unmanned aircraft are noisy and can only fly for a short time. We are addressing this challenge by building
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Institute of Systems and Robotics-Faculty of Sciences and Technology of the University of Coimbra | Portugal | 2 days ago
infrastructure, as well as the meteorological environment that can influence wildfires, using sensor data gathered from a variety of sources, including satellites, aerial, and ground-based systems. Using this data
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Solution Centre SAS-C. Key Responsibilities: Research and develop AI-assisted methodologies and tools for anomaly and stress pattern detection in aquaculture systems. Focus on multi-modal sensor data
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the development of integrated sensor arrays through innovative materials design and validation techniques. This role supports NTU’s strategic direction in cutting-edge sensor research by contributing
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toxic gases emissions of various types of batteries potentially deployed in eHC through reduced scale testing. Lastly, you will also need to evaluate the various gas monitoring sensors performance in
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underlying pain and distressing symptoms in people who are no longer able to explain their suffering. The project will combine traditional assessment scales with sensor-based measurements, with novel analyses
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extension to 4 years. The PhD research fellows will be part of the PhD programme in Computer Science: Software Engineering, Sensor Networks and Engineering Computing (https://www.hvl.no/en/research/phd