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aerospace structures. We plan to adapt these methods for thin coated membranes. As part of a team, you will develop mathematical and computational models, as well as lead the experimental work. You will work
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, high-speed parallel processing of powdered feedstock benefits from precise control over material microstructure and offers improved part functionality in a wide range of applications. Students will have
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explore data-driven methods including machine learning (ML) and artificial intelligence (AI) techniques, to develop predictive HMPM tools that can diagnose, detect, and predict faults in machinery
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round Details The project is aimed at taking the advantage of the enormous potentials of the fast developing computing technology and numerical methods to develop new thermal hydraulics solutions and
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experience of treatment. The overarching aim of the project is to use machine learning methods to understand why many people who are referred for treatment will drop out prematurely. To do this, two studies
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-01126-2 Purshouse RC, Deb K, Mansor MM, Mostaghim S, Wang, R. A review of hybrid evolutionary multiple criteria decision making methods. Proceedings of the 2014 IEEE Congress on Evolutionary Computation
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this emerging research programme Applicants should be familiar with methods for estimating comparative effectiveness using RWD, e.g., NICE’s TSD 17 , NICE’s RWE framework . You will be encouraged to develop your
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A search for pharmacological inhibitors of a cancer-associated adhesion GPCR in the zebrafish embryo
are seeking a motivated student with interests in developmental biology, disease modelling and drug discovery. This interdisciplinary project combines both wet bench work and computational work (bioinformatics
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. This year, we have an R2T2 PhD programme available at the University of Sheffield, in association with The Falcon Project. Project Summary: Sounding rockets are a cost-effective method for gathering crucial
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resulting in very uncomfortable conditions in hot weather seasons. The research aims to investigate the potential use of energy efficient natural ventilation methods in the underground environment to improve