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sensor data, and (iii) sophisticated fatigue analysis models combining advanced fracture mechanics with crack initiation and growth simulation. Additionally, you will explore fatigue mitigation strategies
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environment. Our research facilities include access to state of the art pilot plants, ability to use a range of sensors and expertise in process modelling and design. The PhD project will be undertaken in
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commissioning and adaptive control. The PhD candidate will develop methods for the ongoing, automated adjustment of controllers, sensors, actuators, and associated control hardware. Rather than one-time
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along with high-content, data-driven methods based on omics. Techniques applied will comprise advanced 4D cellular and molecular imaging, e.g. lattice lightsheet SIM, genetically encoded sensors
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societal pressures. Processing closer to sensors, i.e. at the edge, improves reaction time, optimises resources, and helps tag data for further analysis. However, hardware constraints in IoT systems (e.g
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engineering, system integration, electrical engineering, machine elements, robotics, sensors, mechatronics, and advanced actuator design. As associate or full professor, you are expected to contribute
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partners. The model will represent the main structure of the process, including thermal behaviour and gas flows, key dynamics of the system apparatus, sensor and actuator dynamics, and relevant thermal and
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researcher will investigate how AI embedded in physical entities, such as robots, vehicles, or sensors, form representations of space, motion, and context through continuous, multimodal interaction with