634 engineering-computation-"https:" "https:" "https:" "https:" "https:" "U.S" positions at University of Sheffield
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to produce similar ‘carbon-capture’ plants using gene-editing technology. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes Open to Self
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Distributed, robust and adaptive model predictive control (MPC) School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr P Trodden Application Deadline: Applications
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. The PhD programme will address research challenges including: • Generalisation vs specialisation: How to learn common physical behaviour across different gas turbine engine types while adapting efficiently
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candidates to have a First-class or 2:1 MEng or and MSc with merit (over 60%) in a relevant area i.e. Chemical Engineering, Process Engineering, Chemistry, Materials Science, Geoscience etc. Candidates
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Desired skills We are seeking a motivated and ambitious PhD candidate with a strong background in signal processing, biomedical/mechanical engineering, computer science, or equivalent. Experience in human
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Applicants should hold, or expect to achieve, at least an upper second-class honours degree (2:1) or equivalent in Chemistry, Chemical Engineering, Materials Science, or a related discipline. A Master’s degree
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statement when you apply. Criteria Essential or desirable Stage(s) assessed at Hold or be close to completing a PhD in neural engineering, neuroscience, biomedical engineering, computational modelling or a
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years stipend and tuition fees at the Home status rate at the School of Mechanical, Aerospace and Civil Engineering at the University of Sheffield under the supervision of Professor Pierre Ricco (http
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see the University page on English Language requirements for Postgraduate courses: https://sheffield.ac.uk/postgraduate/english-language Proposed start date: 01 October 2026 How to apply: Please
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Masters, or a Distinction at Masters level with any undergraduate degree (or international equivalents) in Computer Science, Engineering, Physics, or Mathematics and Statistics, we would like to hear from