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Sublinear time computation through the lens of decision trees, property testing and more School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Swagato Sanyal
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research programme is to use genetic, molecular and cellular, and imaging/image analysis approaches to understand the development and function of the vertebrate inner ear, the organ of hearing and balance
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diseases, combining biomechanical experiments, micro-Computed Tomography imaging, Digital Volume Correlation, and Nanoindentation. The position is funded as part of the project “ChildBone: A novel digital
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. Johnson Matthey, a FTSE 250 organisation, is a global leader in sustainable technologies specialising in catalysis, precious metal products, chemicals and process technology. With operations in over 30
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the Policy Modelling for Health project of the Population Health Improvement UK Network (PHI-UK) Supervisors: Aki Tsuchiya: https://www.sheffield.ac.uk/economics/staff/academic/aki-tsuchiya Robin Purshouse
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detect changes in step quality associated with acquired brain injury?” and involves a programme of laboratory-based work using a smart pressure-sensor based insole and app. We aim to develop biomechanical
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Adopter programmes, where appropriate. We are looking for an enthusiastic, motivated graduate in (health) Data Science, Computer Science or related field who is interested in the deployment, user acceptance
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of solid-fuel particles and this increasingly relies on engineering computer modelling. This project aims to develop a deeper understanding into the mechanisms of pulverised solid fuel ignition, and to
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/interview) A degree (Bachelor’s, Master’s, or PhD or equivalent experience) in Software Engineering, Computer Networks, Embedded Systems, AI, Data Engineering, or a related subject (assessed at: application
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second class honours degree or significant research experience. Candidates must have a first or upper second class honors degree or significant research experience. A background in computer science