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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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. The project integrates synthetic organic chemistry, kinetic analysis, automation, and machine learning to establish next-generation mechanistic workflows for asymmetric organocatalysis. The project advances
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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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-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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GenAI implementation in teaching, assessment, and business operations. Proven experience managing the full lifecycle of machine learning models, including foundation model selection, fine tuning
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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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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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, self-supporting, charitable and learned society through the publication of two world-leading scientific journals Biological Reviews and Mathematical Proceedings, an annual programme of public lectures
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conferences in areas of machine learning, computer vision, and Large Language Models and high-impact specialist peer reviewed academic journals. • Ability to conduct interdisciplinary research activities