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large and vibrant team present within the Hearing Research group at Sheffield. The project will primarily involve using 2-photon imaging and AAV-gene delivery applied to a wide range of transgenic mice
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for materials formulation, processing, characterisation and performance assessment. More information on these facilities can be found at: · https://www.sheffield.ac.uk/royce-institute · https
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safeguarding issues in line with the policies of the University. Maintain client records appropriately in keeping with Data Protection and confidentiality policies. Work effectively in accordance with university
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Lyudmila Mihaylova Application Deadline: Applications accepted all year round Details This PhD research is focused on multi-sensor data fusion for decision making. The project aims at dealing with large
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level details are handled automatically by the robot. This project has a large number of potential applications in healthcare and rehabilitation. This research involves developing novel intelligent
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proteomics techniques combined with artificial intelligence and bioinformatic approaches for the analysis of large data sets this project aims at 1. Identifying the molecular signatures associated with
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Turbulence modelling of combustion using Large Eddie Simulations (LES) School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed Pourkashanian, Dr Kevin
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on their surface. The principle is that the large hyperbranched polymers will prevent the core collapsing. As such, there will be a large space inside these systems, which will be capable of binding large
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Inflow generation for Large Eddy Simulation (LES) of the wind farms School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Lin Ma, Prof Mohamed Pourkashanian
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the large trillion-node simulations and in-depth fundamental physics studies. The specific objectives are: Develop a computer model for a multi-sub-channel domain using an advanced CFD approach, and use it to