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Field
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new family of solid-state Additive Manufacturing technologies, such as Cold spray. The nature of the process utilising low heat input and severe plastic deformation, produces ultra-refined
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international collaborations with clinicians, regulators, policymakers, and industry partners. You must have a strong background in machine learning, computer vision, and medical image analysis, with publications
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nature-based solution opposed to traditional ‘grey’ engineering, offer catchment-level solutions by using natural processes to slow and store water through a series of diffused interventions. Historically
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technologies or experiments Application Procedure Informal enquiries are encouraged and should be addressed to Prof Peter Ireland (peter.ireland@eng.ox.ac.uk) Candidates must submit a graduate application form
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intake on the supersonic combustion processes and efficiency. Explore strategies to design the supersonic intake structure to be “self-healing” rather than “self-destructive” Eligibility Students recruited
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four-year full-time PhD structure (three years research + one year writing-up and examination) Start date: September 2025, January 2026. Application process: Rolling admissions—apply early to secure your
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bottleneck in the screening process. This PhD project will address this through deep integration of scanning probe electrochemistry, optical microscopy and machine vision, to develop a system that can
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relating to the role ( andrew.dunning@bodleian.ox.ac.uk ). General queries about the recruitment and application process should be directed to the Recruitment team ( recruitment@glam.ox.ac.uk ). Only
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holder will be required to have practical experience in high-density microelectrode pattern on soft substrates with good understanding of advanced microfabrication processes, electrode substrate
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and corrosion in aqueous CO2-containing environments (such as geothermal systems) is the continuous injection of chemical inhibitors into the process fluid. These inhibitors can function through a