356 data "https:" "https:" "https:" "https:" "Dr" positions at University of Nottingham
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The post is offered on a full time, permanent contract. Your working hours will be 36.25 hours per week. Please contact the Head of School, Dr Siim Trumm (siim.trumm@nottingham.ac.uk) if you have further
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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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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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leave. How to Apply Applicants should submit an application via our online application system before 12 January 2026 at https://jobs.nottingham.edu.cn/job/184419/ Applications should include but are not
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- dave.butler@nottingham.ac.uk. Please note that applications sent to this e-mail will not be considered. All of our vacancies are available to view at: https://www.nottingham.ac.uk/jobs/home.aspx Our university
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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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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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of our vacancies are available to view at: https://www.nottingham.ac.uk/jobs/home.aspx Informal enquiries may be addressed to dave.butler@nottingham.ac.uk . Please note, applications sent directly to this
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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