109 engineering-computation "https:" "https:" "https:" positions at University of Sheffield
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student will gain experience across different disciplines including engineering, and neuro-computation. We require applicants to have either an undergraduate honours degree (1st) or MSc (Merit
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) or MSc (Merit or Distinction) in a relevant science or engineering subject from a reputable institution. Full details of how to apply can be found at the following link: https://www.sheffield.ac.uk/acse
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work on one or a number of these aspects. Students with good degrees on robotics, electrical engineering, computer science, mathematics, cognitive science or subjects where signal processing and
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(or international equivalents) in Chemistry, Computer Science, Engineering or Physics, we would like to hear from you. If you have not previously been educated in English, you will be required to provide evidence of
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Hot Isostatic Pressing for Pu immobilisation: reactions at the canister interface School of Chemical, Materials and Biological Engineering PhD Research Project Directly Funded UK Students Dr Clare
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Overview The Blast and Impact Engineering research group at the University of Sheffield is seeking a dedicated Postdoctoral Research Associate to advance our understanding of explosive blasts in
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-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 for socio-politico-economic
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Advanced Carbon Fibre Composites using Next-Generation Additive Manufacturing (CFAM) School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Patrick Fairclough
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Using Brain Computer Interface to Improve Cognitive Performance School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Mahnaz Arvaneh Application Deadline: Applications
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Stage(s) assessed at A strong STEM degree (e.g., engineering, physics, chemistry, materials science, computer science, mathematics) or equivalent experience demonstrating a robust understanding of