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, accumulated deformations, and their impact on structural performance, particularly for compression members. Develop data-driven reusability assessment platforms integrating NDT data, machine learning models
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properties. A Basic DBS check will also be required. In return we can offer a benefits package including: 36 days holiday (25 pro rata) Free meals on shift A 6% employer contributory pension scheme Free car
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sophisticated machine learning tools for image processing Experience in mathematical modelling Knowledge in comparative neuroscience (comparative vertebrate neuro) Proficiency in basic computer packages (eg
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Digitalising populations of structural systems using machine learning (S3.5-MAC-Dardeno)
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-driven AI models that capture the underlying process–structure–property relationships governing metal additive manufacturing. By combining mechanistic modelling, in-situ sensing, and machine learning
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machine-learning-based surrogate models to accelerate design and control workflows. This PhD studentship would suit candidates with backgrounds or interests in engineering, physics, applied mathematics
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. The successful candidate will have a developing professional or academic experience in building and teaching data analytics and machine learning pipelines and play a role in developing modules in areas
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, and a signatory of the Armed Forces Covenant. We are committed to providing a safe and supportive environment for all staff, students and our wider community, and embed Safer Recruitment principles
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crystallography aspects of our research (predominantly in the area of crystalline materials), while also ensuring integration with the other research areas in the Cooper Group (i.e., robotic automation and machine
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GenAI implementation in teaching, assessment, and business operations. Proven experience managing the full lifecycle of machine learning models, including foundation model selection, fine tuning