181 computational-physics "https:" "https:" "https:" "https:" positions at University of Sheffield
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Details This project explores the textual transmission and cultural influence of Petrarch’s poetry across different literary traditions and languages, integrating computational methods to enhance
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Optimisation of powder processing routes for plutonium disposition: impacts of milling and additives
) through bespoke training programme of the Hub. How to apply Please see this link for information on how to apply: https://www.sheffield.ac.uk/cbe/postgraduate/phd/how-apply. Please include the name of your
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progress through their programme journeys, from welcome and transition to graduation. You will set the annual schedule of key activities and lead developments to improve the student experience and you will
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relevant field (e.g., Neuroscience, Psychology, Computer Science, Mathematics, Engineering, Physics, or a related discipline). - A keen interest in computational neuroscience and/or computational psychiatry
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. Maintain a strong academic and professional profile through national and international engagement and high quality publications. Develop an internationally leading research program, and engage with industry
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academic and professional profile through national and international engagement and high quality publications. Develop an internationally leading research program, and engage with industry and policy
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reliably stratify patients based on their fracture risk. The position is funded as part of Horizon 2020 European Project (https://www.metastraproject.eu/ ) that aims to provide a combination of models
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collaboration with Rolls-Royce plc, this project will use a new Ni-based superalloy as the primary demonstrator system to create a new paradigm for accelerated materials discovery. The program is situated
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to the goals of the national Quantum technology programme. Funding Notes This project is for self funded students or students who have secured external funding only. References https://ldsd.sites.sheffield.ac.uk
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, Chemical Engineering, Applied Mathematics or Physics. Knowledge, skills: Fluid mechanics; desirable: wall-bounded shear flows, aerodynamics. Numerical analysis, in particular Computational Fluid Dynamics