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. Analyse, categorise and document collected seismological, geological, tectonic and built environment data and model and map the data in GIS environment. Develop high-fidelity Finite Element (FE) models of
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parameter selection and process optimisation. Previous experience / requirements: Experimental methods, Finite element modelling, computer programming, Manufacturing Please contact Dr Hassan Ghadbeigi
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parameter selection and process optimisation. Previous experience / requirements: Experimental methods, Finite element modelling, computer programming, Manufacturing Funding Notes Please note that this
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biomechanical treatments. In particular, you will evaluate the effect of biomechanical or pharmacological interventions on the bone properties by analyzing Computed Tomography images, Finite Element (FE) models
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experience in use of Finite element analysis and its application, familiarity with electric machines Contact: h.ghadbeigi@sheffield.ac.uk, m.i.boulis@sheffield.ac.uk Keywords: Manufacturing, Sheet forming
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an Innovate UK-funded KTP project (assessed at application) Desirable criteria Experience of working on high voltage power electronic systems (assessed at application/interview) Experience with finite element
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of developing novel computational frameworks that seamlessly integrate machine learning techniques with established methods in computational mechanics, such as the Phase-field Finite Element Methods. Potential
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-based micro-finite element (microFE) models of the mouse alveolar bone can be used to evaluate accurately the bone stiffness, bone strength and local deformation, as compared against state-of-the-art
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collaboration tools, such as Google Meet. Help design future research challenges through the preparation and publication of data, software, and web-based documentation (eg Google Docs). Collaborate and
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New anticancer therapies based on transition metal complexes School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof Jim A Thomas Application Deadline: Applications