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Field
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artificial intelligence can be combined to develop automated, non-invasive approaches for assessing dairy cattle welfare. The project will explore how acoustic information generated by cattle and their
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an entirely open-loop manner, with no real-time measurement of the microstructure being produced. This PhD will develop and demonstrate, for the first time, a closed-loop EM-based microstructure control system
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the deadline. The project topic is flexible and will be developed jointly by the student and the supervisor, depending on the candidate’s background and research interests. Possible directions include 3D body
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-tumour and pro-tumour immune states. Using established protocols for the isolation, culture and functional analysis of human immune cells, the student will develop patient-derived GBM immune co-culture
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, can be transferred to work directly on experimental measurements. In this PhD, you will develop AI-driven ultrasonic methods for quantitative materials evaluation, focusing on inverse models
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they are intending to complete their studies within the ARC funding period. The student would be based at the University of Plymouth. A training and development budget will also be provided to support the activity
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the development of frameworks for classifying and matching waste materials to viable reuse pathways. In parallel, the project will explore constraints on implementation, including material variability, supply
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ABA laser cladding ABA cladding is a variant of laser cladding that was recently developed at The University of Nottingham. By generating clad coatings by first depositing parallel but separated "A
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systems. Emerging evidence suggests that interactions between pests and pathogens can profoundly alter plant health, disease development, and crop productivity. However, the ecological and molecular
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and utilisation, biomass transition to materials and chemicals, and biomass to energy with carbon capture and storage (BECCS) etc. Training and Development Through our research training programme, you