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About the Role A Postdoctoral Research Associate position is available for 24 months within the School of Engineering and Materials Science at Queen Mary University of London to work on a Leverhulme
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subjected to a typical loading scenario. This research will benefit from excellent computing facilities, expertise in computer-aided engineering (CA2M lab), the available experimental facilities including
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resilient. The PhD student will undertake a full research programme: interviewing participants, leading focus groups, designing studies, analysing data, developing models, designing technological, educational
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outside the UK, in a relevant area of Physical Science, Materials Science, or Engineering. You should be able to demonstrate some computational capabilities (e.g. evidencing a 2:1 or higher in relevant
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and characterizing disease-specific EVs and identifying and optimising biomarkers to enable detection on novel nanoplasmonic surfaces. This project forms part of an EPSRC Programme Grant, Molecular
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Generalisable, Physics-Aware Machine Learning for Gas Turbine Engines
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engineering. The successful candidate will establish and lead a distinctive programme of world-leading research in Advanced Manufacturing, contributing particularly to the School of Engineering’s research
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communities around the world. The Role The Research Centre of Computational Science & Mathematical Modelling develops and applies computational methods to real‑world challenges, with focus on AI issues such as
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& Qualification needed PhD in Computer Science, Engineering, Psychology, Safety Science or cognate discipline, or equivalent experience Well-established national and international reputation in area of research
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are invited for a 3.5-year EPSRC funded UDLA PhD studentship. The studentship will start on 1st October 2026. Project Description Offshore solar energy is an emerging and highly promising technology for