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Assistant or Research Associate levels, to contribute to cutting-edge research in machine learning for time series health and care data with opportunities for innovation, interdisciplinary collaboration, and
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continuous programme improvement. Participate in educational initiatives and activities to enhance student learning outcomes. Requirements: A PhD or a Master’s degree (with significant industry experience) in
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and support postgraduate research students, contributing their expertise to foster a productive and innovative research environment. The successful candidate should have the following: PhD in chemistry
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swarm learning experiments, and provide technical input to establish local machine learning capabilities. The post offers opportunities to work closely with academic and industry partners, both within and
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Centre for Cyber Security and this role encourages applications in the areas of systems security, web security, cyber-physical systems, cyber resilience, ethical hacking, and machine learning for security
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-Computer Interaction research group, based in the School of Computing at Newcastle University. The research assistant / associate will report to Prof. David Kirk (Professor of Human-Centred Design). You will
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Centre for Cyber Security and this role encourages applications in the areas of systems security, web security, cyber-physical systems, cyber resilience, ethical hacking, and machine learning for security
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the solution of governing PDEs. - Train machine learning models to predict lifetime and failure based on loading and environmental histories. The PhD student will have access to world-class computing facilities
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postdoctoral Research Fellow (RF) position for one year with a possible extension for one more year. The starting date is November or December 2025. This post will advance the application of Machine Learning (ML
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, Recommender Systems, Machine Learning or Artificial Intelligence (applied to text or financial data) A3 A comprehensive and up-to-date knowledge of the wider subject area or subject specialism in Information