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Field
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probabilistic modeling of weak signals in the image related to sensor noise developed on JPEG images [Taburet et al., 2020, Giboulot et al.,2021, Giboulot et al.,2022]. The modeling of the sensor noise will be
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mentor including (but not limited to): Design, deploy, and maintain environmental sensor stations, including quarterly travel for installation and servicing to flood prone regions in Illinois and
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functions in a non-invasive way through sensing the tiny magnetic fields produced by neuronal currents. Today, this need is primarily met by quantum sensors that must be operated at cryogenic temperatures
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of reaction mechanisms in molten salts and apply insights to process development and scale up. Project activities will include the design and development of advanced sensors and flow systems for molten salts
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one of our ongoing research projects: Position 1: Postdoctoral Researcher in Smart Video Sensorization for Healthcare (SViSenS Project) As a postdoctoral researcher, you will contribute to the Smart
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including (but not limited to): Design, deploy, and maintain environmental sensor stations, including quarterly travel for installation and servicing to flood prone regions in Illinois and Mississippi. Apply
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surgery. The duties include but not limited to: designing, implementing, and optimizing high-performance C++/C# software modules for real-time control, sensor fusion, and data analysis; developing unity
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of developing wireless, implantable sensor technologies aimed at transforming orthopedic care and regenerative medicine. The lab specializes in engineering battery-free, resonance sensors, such as inductive
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digital twins that simulate and predict nitrogen use efficiency (NUE) in forage grasses and oats. By combining high-resolution phenotyping data from the TraitFinder system, drones, and robotic sensors with
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and training. -Support processing and integration of datasets, including UAV imagery, satellite data, IoT sensor data, and field observations. -Contribute to workflows for AI/ML applications, crop