678 proof-checking-postdoc-computer-science-logic positions at University of Sheffield
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Intelligent Thin Film Manufacturing; routes to responsive slot die coating. School of Chemical, Materials and Biological Engineering PhD Research Project Self Funded Prof Jonathan Howse Application
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expectation to contribute to scientific publications and demonstrations. Support will be provided by senior colleagues in the Digital Manufacturing Laboratory. You will have completed a First degree in Computer Science
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experience doesn't match perfectly with this role's criteria, your contribution is valuable, and we encourage you to apply. Please ensure that you reference the application criteria in the application
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Modelling and characterisation of chip formation and machining induced defects of nano-particle toughened Carbon Fibre Polymer Composites School of Mechanical, Aerospace and Civil Engineering PhD
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High-Performance Laser Powder Bed Fusion of Polymer Parts Using Quantum Cascade Laser Arrays School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Kristian Groom
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Improving Aero-Engine Turbine Sealing Efficiency School of Mechanical, Aerospace and Civil Engineering PhD Research Project Directly Funded UK Students Prof Matt Marshall, Prof R Lewis Application
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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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honours degree (2:1) (or equivalent) in Urban Planning and Design, Computer Science, Geography, GIS, Remote Sensing, Mathematics, Civil Engineering, Architecture, or Environmental Engineering. A master’s
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Heat transfer effect on nonlinear disturbances in transitional boundary layers School of Mechanical, Aerospace and Civil Engineering PhD Research Project Directly Funded UK Students Dr P Ricco
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. The ability to accurately model these molecules using computational chemistry is limited due to a lack of efficient Gaussian basis sets that systematically reduce errors as their size is increased. In