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discipline. Before you apply, please contact the supervisors with a copy of your CV: Dr Sean Holman and Dr Michael O’Toole: sean.holman@manchester.ac.uk michael.otoole@manchester.ac.uk
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to study corrosion, cracking and mechanical degradation, develop advanced computational models using modern C++ and high-performance computing to simulate material behaviour over a 100+ year timespan. This
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experimental and modeling approaches. Experimental investigations will be conducted at the University of Manchester, utilizing established rigs to simulate a spectrum of conditions, from single-phase heat
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realistic degradation from corrosion processes. The simulations will be integrated with mesoscale experimental to evaluate the constitutive response of smooth specimens degraded by corrosion. Given
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online application must include: A 1,500 word PhD research proposal; Please state the word count on page 1 of the document A copy of your Bachelor's and Master's academic transcript and
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in healthcare service and opportunities for identification of such deviations using computer vision approaches. It will demonstrate how deviation data can be used in computer-based simulation models
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itself and changes the way it should appear at high photon energies. The details of this process can be explored both analytically and numerically, the latter using simulations of magnetohydrodynamics (MHD
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@lancaster.ac.uk with: a current copy of your CV; a covering letter explaining your motivation for applying to the programme; an up-to-date copy of the degree courses you have studied including marks awarded
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to support condition-based predictive maintenance for gas turbine engines. Cranfield has developed unique physics-based technologies on gas turbine performance simulations, diagnostics, prognostics and lifing
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model to understand the dominant physics in the drying process. Develop a well-documented open-source code to simulate a suitable reduced problem of the drying process. Generate a database quantifying