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- Institute of Systems and Robotics, Faculty of Sciences and Technology of the University of Coimbra
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cloth-based sensors for pharmaceutical pollutants: Novel green tools to guarantee fish safety and surveil ecosystems”, reference 2022.07089.PTDC, funded by Fundação para a Ciência e a Tecnologia, I.P
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Institute of Systems and Robotics, Faculty of Sciences and Technology of the University of Coimbra | Portugal | 14 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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cycle or non-award courses of Higher Education Institutions. Preference factors: • Prior work with radar, video processing, or sensor fusion technologies.; • Familiarity with data acquisition frameworks
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Institute of Systems and Robotics-Faculty of Sciences and Technology of the University of Coimbra | Portugal | 1 day 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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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 15 days ago
implantable sensors”, with reference COMPETE2030-FEDER-00781000, Operation No. 16631, funded by COMPETE2030 and national funds (FCT) under Call for Applications No. MPr-2023-12. Host Institution: i3S
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georeferencing of sensors to monitor sea level variations; e) Develop the calculation methods and methodologies necessary for the implementation of a forecast system for issuing Flood and Overtopping Warnings in
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thematic areas aligned with the project will also be considered, as well as scientific publications and conference communications in the fields of multifunctional materials, piezoresistive sensors, and self
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of algorithms for analyzing physiological and biomechanical signals acquired by devices with integrated sensors, which will perform electrocardiography, electromyography and movement measurements, among others
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sensors, which will perform measurements, for example, of electromyography and inertial data Objective and efficient feature identification and recognition of personalized patterns for integration