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we are looking for The candidate should have a 1st or high 2:1 degree in mechanical/aerospace/manufacturing engineering, computer science, physics, mathematics, or related scientific disciplines
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high-level training at the intersection of materials science, computational mechanics, and data-driven modelling, preparing graduates for careers in nuclear engineering, advanced energy systems, and high
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Job description: We have an exciting opportunity at the University of Sheffield for someone passionate about promoting inclusivity in neurotechnology. If you want to use your skills in computational
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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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to demonstrate an appreciation and understanding of wireless network communications and their security. Good first degree (minimum 2:1 honours (or equivalent) in computer science or electrical engineering
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Generalisable, Physics-Aware Machine Learning for Gas Turbine Engines
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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