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, and space hardware. This PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust
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mycobacterial infections. The student will characterise their mechanisms of action using cross-linking mass spectrometry and assess their effects on mycobacterial membrane integrity and cell wall metabolism
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mechanisms to guide the design and formulation of nanoparticles with superior drug delivery properties. Investigate the interaction between ultrasound, nanoparticles, and biofilms to assess antimicrobial
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of Dr Hannes Houck . The PhD project is funded under the ‘DeCoDER’ programme by the European Research Council (ERC-StG, 101222417 – press release ). The position is available for a start date from
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. See UKCISA for further information . Starting in April 2026. You will need to meet the minimum entry requirements for our PhD programme . This studentship involves analysing electronic health records
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the relationship between tyre operating conditions and friction behaviour, new characterisation and analysis techniques are required. In partnership with Mercedes-Benz Grand Prix Ltd, this PhD research will combine
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the online application form for a full time PhD in Computing & Digital Technology. Please complete the Doctoral Project Applicant Form , and include your CV and a covering letter to demonstrate how your
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details of entry & language requirements can be found at: https://www.birmingham.ac.uk/study/postgraduate/subjects/mechanical-engineering-courses/mechanical-engineering-phd Funding notes: • Home (UK
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environments like health care and environmental monitoring. This PhD project aims to address these challenges by exploring how evolutionary algorithms and reinforcement learning (RL) techniques can be combined
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. The primary objective of this project is to investigate the transport, migration, and accumulation of precipitated particles in CO2–water–rock systems using computational fluid dynamics (CFD) coupled with