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Field
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Are you interested in optical sensors and ammonia (NH3) emissions? Then you might want to contribute to the BholdN project where we want to make NH3 emissions visible in biochar treated fields. We
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detection, forecasting, process monitoring, and control; integrating multimodal data from imaging, spectroscopy, IoT sensors, remote sensing, environmental measurements, and process systems; developing robust
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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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digital twin models for building renovation projects, integrating data from IoT devices, sensors, mobile applications, and external sources to support intelligent building management. You will contribute
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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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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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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 17 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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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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-dimensional variational (4D-Var) modeling with research involving sensors and autonomous vehicles. The work will address autonomy and path planning; use Observing System Simulation Experiments (OSSEs
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. Work will include designing and implementing mixed-method studies with human participants; collecting person-level sensor/simulator and field data; analyzing repeated-measures and multimodal behavioral