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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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snails; (2) assist in developing computational digital twin and machine learning simulations; (3) build and test robotic prototypes; and (4) undertake developmental work including data analysis and paper
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, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy
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standard of customer service. Previous experience of using email and finance/stock computer software is an advantage. Further information This role is offered on a full-time, term-time basis (36.5 hours per
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Vision concepts, including image processing, machine learning for visual inspection, and AI, within a manufacturing environment. Your work may also involve developing novel demonstrators for Computer
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department of King’s College London based at the Defence Academy of the United Kingdom at Shrivenham, Oxfordshire. DSD delivers a wide range of professional military education (via a contract with the UK
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foundation in either machine learning or mathematical/computational neuroscience, demonstrable programming experience (Python/PyTorch), and the curiosity to work across disciplinary boundaries. A background in
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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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open-source software, including autodE, cgbind/C3, and mlp-train, and are pioneering new frameworks for training Machine Learning Interatomic Potentials (MLIPs). We are seeking a highly motivated
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Internal candidates will be given priority for this recruitment and must apply via the Employee Dashboard. About the Role The Oxford Applied and Theoretical Machine Learning group at the Department