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of new sensors, platforms, and sensing paradigms to answer fundamental questions in oceanography and to advance the use of autonomous underwater vehicles. Specifically, the research will advance the use
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failed or failing sensors and meters, conduct field audits of building systems and utility metering, and update the facility condition assessment database. • Must have a working knowledge of Excel and
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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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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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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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troubleshooting, calibration, and adjustment of sensors, controllers, and control sequences. Works under guidance, responds to control‑related service requests, documents system performance, and helps identify
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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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the arc melting, hot rolling, and mechanical testing equipment, including I/O, sensor feedback, and data capture. Connect the PLC layer to the higher-level Python control software through industrial
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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