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completion of your PhD programme) in computing, telecommunications, electronic engineering, applied mathematics or a related discipline, with strong expertise in smart technologies in one of the areas
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computing, edge computing, distributed computing or cloud computing. Experience in real‑time applications and in developing research demonstrators is essential. You will be an effective communicator, able
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PhD Studentship available on the RAINZ CDT programme at the University of Oxford. Project Overview Abstract: Nuclear facilities require regular inspection to monitor specific locations (for example
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performance computing environments, and the use of cloud-based platforms Expertise in the design, development, and application of Digital Twins, including data driven and hybrid modelling approaches for complex
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AI-Enhanced Healthcare - Leveraging Multimodal Data Integration for Impactful Innovation School of Electrical and Electronic Engineering PhD Research Project Directly Funded UK Students Dr Mohammad
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students in this area. Ideally, you’ll have substantial professional/industry experience or a PhD in Data Science, Computer Science, or closely related disciplines with industry-relevant research data skills
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to demonstrate excellence in teaching practice, curriculum design and delivery in business applications of AI, analytics, and cloud computing. You will have proven expertise in enhancing student employability
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updates. Minimum Requirements (Essential) Education PhD in Computer Science, Artificial Intelligence, Data Science, Computer Engineering, Biomedical Engineering, or a related field. Technical Skills
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design and deliver high-quality teaching in Cyber Security, covering areas such as Network Security, Cloud Computing, Digital Forensics, and Ethical Hacking. Responsibilities include module coordination
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and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute