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transfer modeling, vegetation modeling and data science to: Establish an international network of ground-based GNSS sensors to provide continuous microwave observations of vegetated ecosystems. Improve
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detection of antibiotic resistance and can serve as a new nanotool for screening the effectiveness of antibiotics. We now plan to delve further into the nature of this nanomotion, optimize nanomotion sensors
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transfer modeling, vegetation modeling and data science to: Establish an international network of ground-based GNSS sensors to provide continuous microwave observations of vegetated ecosystems. Improve
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for Enhanced Sensing and Classification). The goal of this project is to work towards transitioning radar from a conventional stand-alone sensor to an intelligent and spatially distributed network of cooperative
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for Enhanced Sensing and Classification). The goal of this project is to work towards transitioning radar from a conventional stand-alone sensor to an intelligent and spatially distributed network of cooperative
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of printing processes. In this project you will develop a data driven approach to model the thermomechanical physics during a large scale additive manufacturing process. This will be achieved through sensor
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, consumer electronics and healthcare. Our research spans from measuring and manipulating materials at the micro and nano scale, to the design of world-class MEMS and NEMS sensors and actuators. You will be
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advanced sensor systems, and hybrid analysis and modelling (HAM) which combines physics-based and data-driven (AI/ML) models. These tools will be applied to achieve interoperable and evolving models
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of actuators, sensors or cooling channels. This opens the door to the design of advanced systems that exploit oversensing and overactuation to reach unprecedented performance levels. This project forms part of
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for enhanced visualisation, with strong programming skills in Python or similar languages for IoT and sensor data integration. Interdisciplinary Collaboration: The ability to work effectively in a team spanning