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Topological Data Analysis for Multimodal Neuroimaging: MRI and NIRS Biomarkers of Brain Change DoS Dr Nathan Broomhead (nathan.broomhead@plymouth.ac.uk, tel.: +441752586874) 2nd Supervisor Dr Mariam
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. The studentship will start on 1st October 2026. Project Description Project Aim To develop and validate an AI co-pilot software system integrating multi-modal radiomics data to enhance cancer detection speed and
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energy research, combining laboratory experimentation, computational modelling, and data analysis. Experimental work will be carried out in the world class COAST laboratory, examining floating offshore
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into its latest Ryzen processors, unlocking new possibilities for on-device AI acceleration. This project aims to maximise the potential of AMD’s cutting-edge hardware for healthcare computer vision
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funded UDLA PhD studentship. The studentship will start on 1st October 2026. Project Description This project develops advanced simultaneous wireless information and power transfer technologies (SWIPT
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Engineering, Biomedical Engineering, Physics/Medical Physics, Materials Science/Engineering, Chemical Engineering, Data Science/Signal Processing, Biomedical Science, Biological/Human/Life Sciences, etc.) and
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techniques employed include high-throughput cell based screening, flow cytometry and preclinical treatment models. Informatic approaches include data mining and manipulation of large pharmacogenomic matrices
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click on the Apply button above. Please see here for a list of supporting documents to upload with your application. For more information on the admissions process generally, please contact
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, environmental fluid mechanics, nature-based solutions, and data-driven analysis. Eligibility Applicants should have a first or upper second class honours degree in an appropriate subject and preferably a relevant
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more information on the admissions process generally, please contact research.degree.admissions@plymouth.ac.uk The closing date for applications is 12 noon on 24th April 2026. Shortlisted candidates will