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on Wednesday 24 July 2024 Reference: RD-PHD-24-GC-R1-MH Title: Fulfilling the 'promise of precision'? A user-centred study of sensor technology for farm animal welfare Primary Supervisor - Dr Gemma Charlton
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Supervisor: Prof. David Cook (Brewing Science) Secondary Supervisor: Dr Joanna Yorke (Brewing Science), Prof. Ian Fisk (Food & Nutritional Sciences), Prof. Ray Marriott (TNS Ltd) Subject Area
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Supervisory Team: Hywel Morgan, Dan Spencer and Franklin Nobrega (Biological Sciences) PhD Supervisor: Hywel Morgan Project description: Antimicrobial resistance is predicted to become a primary
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-structure modelling challenges within this field. In addition, AI technology will play a crucial role as a supportive tool, contributing to more efficient and accurate turbulence modelling. We are actively
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This is a full-time, funded PhD opportunity in the Faculty of Science and Engineering. It is open to both home and overseas students. Please note that only home fees will be covered - eligible
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efficient IoT systems. Please state your entry requirements plus any necessary or desired background First or Upper Second Class UK Bachelor (Honours) or equivalent Subject Area Computer Science & IT
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This is a full-time, funded PhD opportunity in the Faculty of Science and Engineering. It is open to both home and overseas students. Please note that only home fees will be covered - eligible
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quantum computers. Quantum computing technology, leveraging Shor’s algorithm, is expected to dismantle existing public-key cryptography. This jeopardizes the security of modern digital infrastructures like
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of computing and psychology. Your role will involve designing and executing experiments, analysing data, and developing novel techniques informed by behavioural science to address human-centric cyber threats
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Honours or 2:1 bachelors or masters degree in Computer Science, Mathematics, Engineering or related areas. Experience and/or a high interest in cyber security, AI and ML is a strong requirement. We welcome