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purification is desirable but not necessary. Candidates with physics and physical chemistry are encouraged to apply. Knowledge of coding and image analysis is desirable but not necessary. As well as supporting
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changes (so called swelling). Swollen batteries are at risk of rupturing which may significantly shorten their lifetime. Development of advanced computer models is critical for understanding and
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, cylinders, shells and various prototype two-dimensional and three-dimensional geometries. Such systems have potential applications to sensors, photonics, metamaterials, and displays. Applicants should have
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data, such as images, sounds, and tactile information. This project is to embed the intelligence into the robotics system. We expect the robot can conduct the inspection autonomously without human
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Award (IDLA). This research aims to investigate natural source zone depletion (NSZD) processes that can naturally remedy oil pollution and use this improved process understanding to enhance CoronaScreen
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, ultimately optimising the deposition process. Additive manufacturing (AM) is a rapidly advancing technology, driving numerous innovations and finding diverse applications across industries such as aerospace
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, such as images, sounds, and tactile information. This project is to embed the intelligence into the robotics system. We expect the robot can conduct the inspection autonomously without human intervention
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of generative models by introducing a training regime inspired by the Thinking, Fast and Slow paradigm. Recently, the use of RL has been shown to significantly improve the performance of LLMs. The goal
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short courses in the core subjects of this PhD programme including process intensification and green chemistry. This project is part of the Process Industries: Net Zero (PINZ) Centre for Doctoral training
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crucial role in paper manufacturing, enhancing paper strength, surface properties, and printability. However, variability in starch quality, processing conditions, and raw material properties can