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Field
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Machine learning for networks and systems Systems for machine learning Edge computing and applications Networked systems design and experimental evaluation Network measurement Network security Ability
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. Our research was funded by several agencies, and we regularly host conferences and seminars featuring colleagues from all over the globe. We are currently looking for a dedicated PhD student to join our
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a package of support to enable you to develop a research career in this exciting field. PhD Topic: Federated Learning-based Intrusion Detection System for Intelligent Transportation Systems with Mixed
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Algorithms Agile Programming Applied Machine Learning Computer Graphics Web Design and Programming Cloud Technologies Advanced Databases and Big Data Introduction to AI Natural Language Processing DevOps Data
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combined with human support. About the role The Research Scientist in Machine Learning for Wearables will develop predictive deep learning models to assess maternal and partner health and behaviour
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such as geolocation. The model will be dynamic (updating predictions as patients record new data), and will consider statistical and machine learning algorithms. Development of statistical methods
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will provide guidance to less experienced members of the research group, including postdocs, research assistants, technicians, and PhD and project students. Key responsibilities: • Manage own
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and will be promoted to Research Associate once their PhD has been awarded. As a member of Research Staff at the University of Bath, you will be encouraged to take up a minimum of 10 days professional
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contexts. They will be expected to contribute to the effective delivery of teaching, learning, and student support by: Delivering and evaluating classroom and practical teaching across modules Designing and
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adaptability of wearable and medical devices, and safer human-machine interaction. Machine Learning (ML) is an emerging technology with significant potential in integrating and embodying soft robotics