68 data "https:" "https:" "https:" "https:" "Dr" "UCL" PhD positions at University of Nottingham
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resolution. This PhD offers the opportunity to conduct cutting-edge research with direct industrial impact, combining fundamental fluid mechanics with modern data-driven techniques. The successful candidate
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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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for candidates who can demonstrate strong research potential. Suitable backgrounds include, but are not limited to: Human Factors Law (particularly law and technology, medical law, or data governance) Psychology
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delivering sustained research excellence and creating potential for future external funding opportunities. Please contact Dr. Brian Kiraly, Brian.Kiraly@nottingham.ac.uk for further information if you are
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global manufacturers. For details, visit the MTC website . For further information on this PhD position please contact Dr Sara Wang (Sara.Wang@nottingham.ac.uk ) Closing Date: 27th February 2026. Proposed
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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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, 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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technologies and offers opportunities for collaboration with leading academic and industrial partners. Supervisory Team You will work with Dr Pearl Agyakwa, Dr Kangkana Baishya and Dr Paul Evans who work across
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that deliver healthier indoor environments, lower carbon emissions, and long-term building performance. By integrating Passive House and EnerPHit principles with real building data, the research will support the
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support population-level prevention strategies. Further information: Applicants should have either a minimum 2.1 undergraduate degree in a relevant area (public health, epidemiology, economics, statistics