105 engineering-computation "https:" "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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Advanced brain-computer interface School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Mahnaz Arvaneh Application Deadline: Applications accepted all year round
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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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this highly interdisciplinary team, comprising engineering and medical academics, including device design engineers from Sheffield’s world-leading Advanced Manufacturing Research Centre (https
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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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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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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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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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Overview An exciting opportunity is available in the School of Mechanical, Aerospace and Civil Engineering at the University of Sheffield for a Research Associate to use their computational and