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. (Funding: EPSRC through the AI Safety Institute). Key responsibilities and duties comprise: developing the research vision into executable tasks to achieve the project's aim through mixed (quantitative and
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Rolls-Royce University Technology Centre (UTC) in manufacturing and On-Wing Technology, The University of Nottingham. Applicants are invited to undertake a three-year PhD programme in partnership
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engineering, embedded systems design, and Internet-of-Things / Industry 4.0 technologies. Knowledge of computer science principles and modern AI approaches in computer vision and / or time series analysis is a
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blank Select ‘PhD Energy Materials' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: A ‘Personal Statement’ (this is a mandatory field
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and modern AI approaches in computer vision and / or time series analysis is a plus. The position requires strong teamwork and communication skills, reliability, attention to detail, effective time
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Technology, The University of Nottingham. Applicants are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in on-platform manufacturing engineering. The
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an EPSRC-funded New Investigator Award expected to advance the state-of-the-art machine learning and remote sensing research with a focus on explainable artificial intelligence and computer vision. This
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programme of study: Search for the ‘Course Title’ using the programme code: 8060F Select ‘ PhD Electrical and Electronic Engineering (full time)' as the programme of study You will then need to provide
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the application. Funding notes: Funding is awarded on competitive basis for UK students and it will cover tuition fees and living stipend for the full 3.5 years during the PhD programme.
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vision