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organic matter. * Integrate sensor outputs into process control systems (stepper motor-driven coagulant dosing). Desired qualifications: * PhD in Environmental Engineering, Electrical/Computer Engineering
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Requisition Id 15553 Overview: We are seeking a Postdoctoral researcher in data quality assessment and control and sensor network optimization who will focus on R&D of sensor network design. This
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/Qualifications PhD in Mechanical Engineering, Electrical Engineering, Physics, Aerospace Engineering, or related fields. Strong background in MEMS sensors, instrumentation, or microfabrication. Experience with
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for geometry assurance – integrating live sensor geometric sensor data with simulation for real-time control and adaptive assembly. This builds on existing work within the group on digital twins for geometry
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separation, polymer dosing trials, and lagoon monitoring activities. Operate manure pumps, samplers, sensors, and related field equipment. ●10%: Extension and Outreach Support - Contribute to the development
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. Possible contribution to the supervision of Master and PhD students. Communication of results in high-impact scientific journals and international conferences. Laser frequency stabilization onto atomic vapor
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sensor geometric sensor data with simulation for real-time control and adaptive assembly. This builds on existing work within the group on digital twins for geometry assurance. AI for automatic tolerance
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the I. Foton laboratories at the University of Rennes and the CNRS, the postdoctoral researcher will contribute to the development of a miniaturised optical sensor based on infrared spectroscopy
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will support the mission of the university through their work. Qualifications: PhD in Mechanical Engineering, Manufacturing Engineering, Materials Science and Engineering, or related field and specific
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description AI-enabled polymer monitoring via multi-sensor intelligent non