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methodologies to study tyre–road contact physics. Providing new insights to better predict tyre–road friction. Based within both the Wolfson School of Mechanical, Electrical & Manufacturing Engineering and the
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learning models to forecast and visualize heat flow and occupant comfort metrics. Identify key drivers of energy inefficiency, including occupant behaviour patterns and physical heat loss hotspots. Formulate
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strong upper second-class undergraduate degree in Chemistry, Physics, or a related discipline such as Mathematics or Computer Science, are encouraged to apply. The candidate is expected to have a strong
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Benjamin Horrocks , Dr Gang Si (Procter & Gamble) Eligibility Criteria We are adopting a contextual admissions process. This means we will consider other key competencies and experience alongside your
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(minimum 2.1 honours or equivalent) in a STEM subject including Computer Science, Data Science, Engineering, Physics or Maths. A relevant MSc/MEng is desirable but strong candidates without postgraduate
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, B.S.Murray@food.leeds.ac.uk Project summary This fully funded PhD place provides an exciting opportunity to pursue postgraduate research in a range of fields relating to Surfactant Science and the Physical
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engineering, or atmospheric science* Expertise in and passion for computational modelling and software development/engineering Expertise in cloud physics or contrails preferred but not required Creative problem
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Start Date: Between 1 August 2026 and 1 July 2027 Introduction: Richard Feynman famously quoted ‘turbulence is the most important unsolved problem of classical physics’. Understanding and modelling
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degree with honours in an engineering, physical sciences or medical sciences discipline relevant to the proposed area of research Excellent English communication skills. Strong interest in sports medicine
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programme, our advertised projects or the application process, please email FBL-PHD@open.ac.uk . We look forward to receiving your application.