41 software-defined-network-phd PhD positions at University of Nottingham in United-States
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Deadline: 15.10.25 For UK students This 3.5-year PhD studentship is open to Home (UK) applicants and EU students with settled status. The successful candidate will receive an annual tax-free stipend
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This 3.5-year PhD studentship is open to Home (UK) applicants and EU students with settled status. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£20,780 for
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including machine learning. This research will support the path to net zero flights and there will be opportunities to become involved in practical aspects of fuel system design and testing during their PhD
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. Applicant should have experience in time-series processing with appropriate AI models (recurrent networks, LSTM) and experience in 2D convolutional neural networks in Python. This is a part-time position (5
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(SFDI) and also from our custom-built photoplethysmography (PPG) sensor. Applicant should have experience in time-series processing with appropriate AI models (recurrent networks, LSTM) and experience in
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start dates also possible) Email: david.duncan@nottingham.ac.uk About the project We are recruiting applicants for a fully funded PhD studentship in the School of Chemistry at the University of Nottingham
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About The Project Caring for people living with dementia can be emotionally and physically demanding, especially when carers are unfamiliar with the specific challenges of the individuals they support. This research project aims to improve the experience of both carers and residents in...
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Applications are invited for a PhD Studentship, with a late 2025 / early 2026 start, hosted at the University of Nottingham within the Department of Chemical and Environmental Engineering and School
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Applications are invited for a PhD Studentship, with a late 2025 / early 2026 start, hosted at the University of Nottingham within the Department of Chemical and Environmental Engineering and School
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a team to undertake a PhD in the Optics and Photonics Research Group (OPG), supervised by Dr. Mitchell Kenney alongside collaborators within OPG and Life sciences. (https://www.nottingham.ac.uk