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, nature, causes and impacts of elder abuse (the last ONS-led national survey was in 2006). This PhD studentship aims to create a step-change in understanding the nature and scale of this abuse, by: 1. Co
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Please quote reference: Quantum Computing at The School of Physical Sciences Duration: 3 years and 6 months. We are currently recruiting for the following full-time, fully funded PhD studentship
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, or intervention using electronic, mechanical, or smart material systems. This particular PhD studentship, based at the School of Engineering, University of Birmingham, focuses on developing a microfabricated
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) The School of Social Sciences at Heriot-Watt University is offering a full-time PhD Studentship in Psychology to be taken up during the 2025-26 academic year. The studentship includes a tuition fee
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., health and climate/environmental data) and could include a range of data science methods, such as utilising geographical information systems (GIS), statistical analysis, machine learning, deep learning
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untapped potential remains in extracting value from this data. This PhD will explore advanced analytics techniques, including machine learning, digital twin modelling, time series analysis, spectral analysis
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Supervisory Team: Prof Middleton, Prof Gandhi PhD Supervisor: Matt Middleton Project description: We know of only 20 or so black holes in our galaxy yet predict there should be 10s of millions
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Award type: MSc by Research Start date: 29/09/2025 Studentship funding Sponsored by Sponsored by Anglian Water and Cranfield University, this MSc by research will provide a bursary of to £24,000 (tax free) for living expenses plus registration fees* for one year. Eligibility Duration of Award...
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Project Summary: This is a fully funded 4-year PhD position with the aim of developing new materials that can make decisions about their own movement in response to stimuli. Many biological
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early ‘prodromal’ stages) is yet to be established in large community settings. This PhD project will examine the effectiveness of AI-based analysis of eye images in predicting cognitive/neurodegenerative