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of an innovative new multiparametric sensor technology to monitor the microbial properties of cattle rumen. This sensor bolus will be manufactured and used to measure physical and chemical parameters in cattle
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collaboration with the Department of Advanced Computer Science and the Sensor Engineering group, creating a highly interdisciplinary research environment at the intersection of plant science, engineering, and
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classification of aluminium scraps and contaminants. Design and validate algorithms for multi-sensor data interpretation and sensor fusion. Conduct laboratory experiments on scrap characterisation and sorting
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suites across the software stack Building and improving a hardware-in-the-loop (HIL) test bench for systems interfacing with sensors and spinal cord stimulators Defining and executing test strategies (unit
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collaboration with the Department of Advanced Computer Science and the Sensor Engineering group, creating a highly interdisciplinary research environment at the intersection of plant science, engineering, and
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and industrial partners to develop a range of demonstrators including modular or reconfigurable electronics and environmental sensors. These demonstrators will have strong potential for high-profile
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About the role We are seeking a highly motivated Research Associate/Fellow to join a multidisciplinary team developing advanced MRI and sensor data analytics methods to improve our understanding
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multimodal sensor data (video, LiDAR, BIM). • Assist in the deployment and acceleration of deep learning models (e.g., TensorRT, ONNX) onto edge computing devices on the robot. • Develop interactive web
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 18 hours ago
the western United States. The project will provide hands-on experience in satellite remote sensing, geospatial analysis, wildfire science, and multi-sensor Earth observation, complementing the participant’s
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often rely on separate clinic tests and observation, which can miss subtle changes. FlexiSense is a textile-based wearable with printed multimodal sensors designed to measure grip force, movement, touch