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downtime and operational costs. Traditional condition monitoring approaches often face challenges in accurately detecting early-stage faults, especially in the presence of highly impulsive signals
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restraint conditions. A key goal is to develop both a sensor system and a prediction model for the short- and long-term deformation behaviour of concrete. These tools will be applied to full-scale structural
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This self-funded PhD research project aims to develop smart sensors based on low-frequency resonance accelerometers for condition monitoring of ultra-speed bearings. The developed smart sensors will
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29th May 2025 Languages English English English We are looking for a PhD Candidate in advanced condition monitoring of ship propulsion Apply for this job See advertisement This is NTNU NTNU is a
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, monitoring outcomes, performing lab maintenance, and/or performing experiments and creating creative projects. May assist in short- and long-term planning and project goals. May assist with research and
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industries, including: Aerospace: Faster, more efficient design and real-time condition monitoring for safer aircraft and spacecraft. Civil Engineering: Real-time health monitoring for bridges and skyscrapers
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Martin Australia invite applications for a project under this program, advancing robotic perception systems through monitoring of their machine learning models. Run-Time Monitoring of Machine Learning
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Umeå, Sweden. The department offers a creative and stimulating environment and performs internationally recognized basic and applied research, education and environmental monitoring in the research areas
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We are seeking a highly motivated researcher to conduct research in modelling and monitoring forest growth. About the position The projects focus on developing models for forest types and tree
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Deadline 2 Sep 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Part-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 1114--1-13510 Is