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in these elements leads to common and rare disease. You will work with large scale genome sequencing datasets (e.g. UK BioBank, 100,000 Genomes Project, gnomAD) and RNA-Seq data, adapting and applying
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Engineering. If English is not your first language then you must have an International English Language Testing System (IELTS) average of 6.5 or above with at least 6.0 in each component, or equivalent. Please
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: Applications accepted all year round Details In analyses of failure in composite laminates, extended finite element analyses using Abaqus (or Ansys) might prove convenient for the prediction of transversal
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for the experimental work to inform the development of the models. Simulation techniques based on the Cellular Automata Finite Element (CAFE) model pioneered in the Department will be explored. Funding Notes 1st or 2:1
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any element of the recruitment process you can contact clinmed-staffing@sheffield.ac.uk. Our vision and strategic plan We are the University of Sheffield. This is our vision: sheffield.ac.uk/vision
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, equipment or adjustments to enable you to participate in any element of the recruitment process please contact bioscienceshradmin@sheffield.ac.uk Our vision and strategic plan We are the University
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if they have progressed to the selection stage within 1 week of the closing date. If you need any support, equipment or adjustments to enable you to participate in any element of the recruitment process please
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, equipment or adjustments to enable you to participate in any element of the recruitment process you can contact Karen Johnson – karen.johnson@sheffield.ac.uk Our vision and strategic plan We
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techniques to develop a predictive Finite Element model of chip formation and machining induced damage in machining of AM build parts. This will also include an investigation into the machinability of the AM
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This projects builds on another recent project to model human hand interactions with packaging. The use of finite element techniques will be used to further develop a human hand model with key features to show