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degree or a master’s (or international equivalent) in a relevant mathematical sciences or engineering related discipline. Background knowledge in continuum mechanics, theory of partial differential
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-informed machine learning (PIML) with domain-specific engineering knowledge. By embedding physical laws and corrosion mechanisms into data-driven models, the research will produce more accurate
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for black holes in our Galaxy that are in a close binary system with a normal star. Measuring the mass of these black holes informs on their formation mechanism, but traditional optical techniques are not
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can do mechanical work, long a dream of science fiction, for instance for implantable biodevices in healthcare, chemical remediation, or low cost sensors. One promising direction is to integrate
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PhD project: Modelling Reliability and Resilience of Hydrogen Systems for Improved Safety and Sustainability Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering
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Application deadline: All year round Research theme: Photonics, Quantum technology, Optomechanics This 3.5-year PhD project is funded by the Department of Engineering. The position is part of
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’, please select ‘Loughborough’ and select the ‘Programme’ as ‘Mechanical and Manufacturing Engineering’. Please quote the advertised reference number of ‘FP-CTS/2-2025’ in your application. Applications must
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counterfactual reasoning frameworks that uncover latent mechanisms and enable principled hypothesis testing. Our goal is to advance the theory of representation learning and causal inference in high-dimensional
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mechanical anisotropy and compromise the durability of printed structures. Understanding these phenomena is critical for ensuring the reliability and scalability of 3D-printed concrete in real-world
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, especially if working on a related topic of wind energy. Applicants should have a MEng or MSc degree in Civil, Mechanical or Aeronautical Engineering with at least 2:1 honours. To apply, please contact