69 computer "https:" "https:" "https:" "https:" "Dr" "UCL" PhD positions at University of Nottingham
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Supervisors: Dr Negar Gilani and Professor Richard Hague The Centre for Additive Manufacturing (CfAM) Research Group within the Faculty of Engineering at the University of Nottingham, recognised as
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; MSc distinction/high merit). Prospective applicants are encouraged to contact Dr Luisa Ciano (luisa.ciano@nottingham.ac.uk ) and/or Dr Anca Pordea (anca.pordea@nottingham.ac.uk ) for more details or
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autonomous systems. Supervision The project will be supervised by Dr Anthony Siming Chen (EEE), with co-supervision from Professor David Branson III (M3) and Professor Praminda Caleb-Solly (Computer
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MEng degree in Electrical and Electronics Engineering or Aerospace Engineering. To apply or for further information, please contact Dr Sharmila Sumsurooah Sharmila.Sumsurooah@nottingham.ac.uk Funding
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individual with a 1st or a 2:1 degree from Mechanical, Manufacturing, Mechatronics Engineering, Computer Science or other relevant field. The candidate should have excellent analytical and communications
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, preferably at Masters level (in exceptional circumstances a 2:1 degree can be considered). To apply visit: http://www.nottingham.ac.uk/pgstudy/apply/apply-online.aspx For any enquiries about the project please
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in the Faculty of Engineering. The project will be led by Dr Sara Mohamed, with co-supervision from academic colleagues within the BEE Research Group. You will also engage with advanced research
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techniques for feedstock and high value products characterization. 1st or a 2:1 in a Chemical Engineering, Mechanical Engineering, Materials Engineering, Chemistry, Physics Please contact Dr Orla Williams
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overall theme of this PhD programme is investigating how population-level public health policies in the UK may contribute to declines in dementia incidence. This PhD studentship is embedded within an NIHR
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for fusion components. This framework foresees two building blocks: high-fidelity Computational Fluid Dynamics (CFD) simulations of boiling flows within complex geometry using opensource software and cutting