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support the University’s Health and Safety Policy. To be confident and able to use and instruct on Domestic and Dubied knit machines, and linkers, to produce garments and knit swatches to a high standard
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, software engineering, Embedded Systems, Artificial Intelligence / Machine Learning, data science, or closely related disciplines or significant practical/industrial experience. Significant postdoctoral
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willing to learn new applications. Benefits Membership of the OSPS pension scheme, free medical insurance (taxable benefit), 30 days annual leave (plus bank holidays), free meals on duty, use of on-site gym
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to learn. Good organisational and presentation skills. The ability to work well in an interdisciplinary environment. Further information: This position is offered full time, fixed term for 18 months
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cutting-edge courses, modern pedagogy and practical knowledge, we enable our students and staff to experience the joy of learning, teaching, research and innovation, and apply their knowledge
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CFD, thermofluids and machine learning. Experience in Python (or another language), machine learning frameworks, or CFD tools such as OpenFOAM is beneficial but not required. Applicants should hold (or
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thrusts within the lab’s multi-agent security programme. You should possess a completed PhD/DPhil (or thesis submitted by the start date) in Computer Science, Machine Learning, AI, Security, Robotics
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applications require precision machining to achieve their final geometries. If machining conditions are not kept within specification, then damage to the material can occur, which can be detrimental to fatigue
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knowledge across disciplines and rapidly acquire understanding of other disciplines. Statistical skills including regression models, distributed lag non-linear models, hierarchical models, machine learning
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preparing/presenting briefings/templates/reports). Strong IT skills (Microsoft Office; ability to learn and support CRM/bespoke platforms). Resilient and adaptable; calm under pressure; able to absorb complex