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Computational Fluid Dynamics modelling of free surface flows over packing materials in a CO2 absorber School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof
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techniques, statistical methods or data analysis in particle physics (assessed at interview) Experience in the Python and/pr C++ programming languages Effective communication skills, both written and verbal
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experience in one or more of the following: developmental speech, language and communication needs, key concepts in disability, healthcare and education, clinical methods and intervention, and professional
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Self Funded Dr Kristian Groom Application Deadline: Applications accepted all year round Details Research into next-generation additive manufacturing processes based on a new method for selective laser
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Sheffield to work on the remainder of a 36-month grant funded program. The project will provide a fantastic opportunity to develop and apply innovative industrial digitalisation or subtractive manufacturing
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delivery team and will be responsible for the workshop-based training delivery of the Engineering Levels 3 through to 6 of the apprenticeship programme. You will be required to deliver teaching, learning and
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for developing methods for building without extracting new resources, eliminating waste and reducing carbon emissions from material extraction and production. It will assess the extent to which the vision for a
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using electric, hydrogen and hybrid power sources have seen rapid developments. This leads to many interesting control challenges. This project will focus on the use of the latest development of numerical
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need to show independence, creativity and flexibility in their approach alongside working together within a team in Sheffield, but also alongside the numerous partners involved in the project, which will
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, and we encourage you to apply. Please ensure that you reference the application criteria in the application statement when you apply. Essential Criteria A PhD (or equivalent) in Information Science or a