335 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "FEUP" positions at University of Nottingham
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to data integration and workshops. 4- Disseminate findings through publications in leading international journals and presentations at major conferences. 5- Play an active role in departmental and school
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the head archivist, Hannah Jenkinson, with academic mentorship provided by Dr Dean Blackburn and Dr Daniel Hucker (University of Nottingham). The role-holder will need to travel between Nottingham and
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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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rewards, including fitness and health facilities, staff discounts, travel schemes and many more. To find out more about what we can offer you, follow the link to our benefits website Further information is
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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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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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Supervisor: Dr Qian Yang, Dr Rebecca Ford, Prof Ian Fisk Subject Area: Sensory Science Research Title: Understanding sweetness and flavour perception in frozen desserts Research Description: Sweet
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theory, robust and optimal control, and physics-informed modelling, this research aims to bridge the gap between data-driven learning and dependable real-world autonomy. Aim You will have the opportunity