71 professor-computer "https:" "https:" "https:" "https:" "https:" "Dr" "St" "St" PhD positions at University of Nottingham
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internationally recognised experts: Dr Zakhar Kudrynskyi, Prof. David Grant and Dr Timothy Cooper. Together, the supervisory team brings complementary expertise in thin-film growth, functional and dielectric
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(particularly cognitive or applied psychology) Cognitive Science Human–Computer Interaction Engineering or Computer Science Health sciences Experience in empirical research, experimental design, data analysis
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are invited for a fully funded Industrial Doctoral Landscape Award in partnership with Siemens Digital Industry Software, focused on advancing the next generation of industrial Computational Fluid Dynamics (CFD
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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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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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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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Trust-funded project “European Tenement Biographies and the Long-Term Success of Housing Design”, led by Dr Katharina Borsi (University of Nottingham) and Prof Florian Urban (Glasgow School of Art). The
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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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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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be compared and calibrated. In-silico technique based on Computational Fluid Dynamics (CFD) will also be developed to provide further information necessary for the development of new MRI image scanning