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methods. The successful Research Assistant will support the team and develop and conduct a PhD project within the remit of the workstream. Research priorities and questions will be co-produced with the NHS
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This self-funded PhD opportunity explores assured multi-sensor localisation in 6G terrestrial and non-terrestrial networks (TN–NTN), combining GNSS positioning, inertial systems, and vision-based
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tools and models of integrated health and social care. The successful Research Assistant will support the team and co-develop a PhD project within the remit of the workstream. Research priorities and
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contribute to the development of: An R package for path-space rejection sampling for diffusion processes. An R package for Bayesian Fusion pooling inference, such as privacy Bayesian Fusion and constraint
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including data engineers, clinicians, software developers, and lived experience experts to: Scope and integrate new datasets into an new web interface, focusing on mental health-relevant omics and real-world
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hands-on work, access to advanced testbeds and software-defined radio platforms, and training in adjacent disciplines such as signal processing, AI for navigation, integrity monitoring, and sensor fusion
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mechanisms , smart electroactive materials , embodied intelligence , advanced control systems , and microfabrication techniques . This PhD forms part of the new £14 million VIVO Hub for Enhanced Independent
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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
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-periodic structures, we can precisely control the interaction of radiation with matter, potentially achieving unprecedented timing resolution (sub-70ps) and significantly enhancing signal detection. This PhD
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interface designs that enable real-time, efficient processing in resource-constrained environments. Students will explore innovations in hardware-software integration, emphasizing energy efficiency