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Accountabilities Design and implement software pipelines to deploy ML models on edge devices with real-time inference capabilities. Optimize machine learning models (e.g., quantization, pruning) for edge hardware
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. Our team brings together deep expertise in software engineering, distributed systems, machine learning, and cybersecurity. We work across disciplines; from healthcare predictive models for urban air
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Team Leader, you will play an integral role in shaping a dynamic and practical learning environment. You will contribute to a wide range of student-led projects and research activities, involving
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for collecting and analysing small-volume blood samples. You will research and design advanced machine learning, AI and statistical methods to process and analyse data generated from microsampling, which may
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-grained simulations, advanced sampling, and machine learning for predicting and analysing short-lived protein conformations. Enhance and automate workflows for reproducible simulations and structure-based
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search campaigns within MCC while also utilising the latest machine learning tools provided in platform to maximise campaign scale. In this role you will be the lead for paid search, and asked to plan your
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an excellent service for its users, enabling world-class teaching, learning, and research at our university. We shape the future of education and contribute to ground-breaking projects through IT innovation. We