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, improving contract review and quoting, embedding data-driven feedback loops for pricing, lead times and quality control, and supporting the company’s readiness for AS9100. What you will gain: You will lead a
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Postgraduate degree (MSc) in computer science, AI, or similar. Demonstrable competence in machine learning, medical image or signal analysis, data engineering, and healthcare data governance. Adept at
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. Demonstrable competence in machine learning, medical image or signal analysis, data engineering, and healthcare data governance. Adept at developing/validating AI algorithms, and adhering to
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prescriptive maintenance system for Genie’s lifting equipment. The project focuses on connected, partially connected, and non-connected machines, transforming telematics, onboard sensor data, and historical
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project will evaluate AI-based behavioural alerting systems using public benchmark video data. It will focus particularly on false alerts, threshold sensitivity, recurring failure modes and the practical
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, workshops and engagement opportunities. The successful candidate will combine regulatory confidence, student-centred thinking, data fluency and the ability to translate engagement intelligence into
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Admissions, Marketing and International Recruitment to maximise offer-to-enrolment conversion. This is an exciting opportunity for someone who enjoys working in a dynamic environment, using data and
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proficiency, including spreadsheets, online databases and data dashboards. Experience of managing, analysing and interpreting data using MS Excel. Strong organisation and planning skills, with the
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business model innovation. Experience of working in manufacturing or industrial settings. Experience in customer research, data analysis, or development of commercially informed strategies. Key
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in Engineering, Manufacturing, Production Systems, or an Operations-related discipline, with a strong grounding in data, systems, or operational excellence. You should bring evidence of delivering