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Field
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an Ahmed body will be used as the baseline. Numerical studies will be performed using commercial CFD software. A correlation between experimental and numerical data will be determined. This project
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Following NICE Guidance, NHS England (NHSE) has advocated using Coronary Computed Tomographic Angiography (CCTA) as the first line diagnostic test for suspected symptomatic coronary artery disease
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the context of computing Familiarity with research tools and methods, including statistics platforms like R and/or thematic analysis Knowledge of user-centred design and research methods involving human
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clinical or environmental sample we can rapidly identify all organisms present including novel strains and newly emerged pathogens. Currently such methods are only available in specialist laboratories, each
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Solutions, you will apply your methods in detailed simulation studies using Imperial’s high-performance computing facilities, assessing performance in realistic scenarios. You will regularly present your
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-free stipend based on the UKVI amount (£20,780 for 2025-26). We expect the stipend to increase each year. This studentship is related to a multi-institutional EPSRC Programme Grant “AMFaces: Advanced
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position initially and is expected to be held full time and in person. You will join the CNNP Lab, which is well supported with recent funding of over £3M. The lab is based in the School of Computing
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treatment and improved clinical outcomes. The supervisory team of Dr. Paul Facey, Dr. Claire Morgan and Prof. Dean Harris, bringing expertise in cancer genomics, microbiology, and clinical translation
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Closing Date: 1st June 2025 Supervisor: Dr Manish Kushwah Prospective Start Date: 1 October 2025 At Aston Institute for Membrane Excellence (AIME), we are passionate about equity, diversity, and inclusion and are dedicated to cultivating a diverse cohort of PhD researchers from a range of...
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PhD studentship, University of Bradford, Faculty of Health Studies Application Deadline: 16 June 2025 Project Title: Triage transitions: A mixed methods evaluation of NHS ambulance call