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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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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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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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II CDT) at the University of Warwick, where you’ll be immersed in a community dedicated to computational science innovation. With expert training in atomistic simulation, machine learning, and high
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suitability for this position CV including education background, skills and a list of publications Degree certificates and academic transcripts PDF copy of your Master’s thesis or a link (URL) to a repository
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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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their employment email address for verification of reference Evidence of meeting English Language requirement (if applicable) Copy of UK resident visa (if applicable) Confirmation of EDI form submission