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team plays a vital role in delivering high-quality administrative support for a wide range of teaching and learning activities. We work closely with programme and portfolio leads to ensure a smooth and
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academic enterprise, which contributes to the School of Business and Law, Faculty and University’s strategic ambitions. A commitment to high quality teaching and learning is essential and you should be
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machine learning and AI research. Strong analytical thinking, problem-solving skills, and the ability to engage with complex data challenges will be greatly valued. Experience with Python or AI frameworks
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AI-based diagnostics for fleet-based condition monitoring of electric vehicle motors using machine learning frameworks (S3.5-ELE-Panagiotou)
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properties of manufactured mechanical components. 3. Extensive experience in programming and operation of one of the following: Coordinate Measurement Machine, laser tracker or 3D scanning. 4. Extensive
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Physics based machine learning algorithm to assess the onset of amplitude modulation in wind turbine noise (with TNEI Group)
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, cycle circuit, and sports halls. Personal Development: Access to courses run by our Organisational Development & Professional Learning team. Access to on-site childcare, shopping discounts and travel
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across all stages of event delivery and will receive full training and supervision to develop skills within the events environment. We are proud signatories of the Armed Forces Covenant and welcome
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data acquisition. • Computational techniques, including machine learning and statistical inference. • Collaborative research at the interface of mathematics, biology, and physics. Why us? The
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physical systems. You will explore how the dynamic behaviour of nanomagnetic devices can be used to realise these KAN functions directly in hardware. Working with a combination of modelling, machine learning