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Are you interested in developing machine learning for scientific research? We invite you to apply to undertake postdoctoral research in the group of Professor Craig Butts, developing machine
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computing and machine learning—unlocking new possibilities for precision metrology and non-destructive evaluation (NDE) in modern industry and healthcare. This PhD will push the boundaries of next-generation
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Collective Artificial Intelligence Reinforcement Learning and Multi-Agent Systems Scientific Machine Learning AI in Robotics (Embodied AI) For a full description of responsibilities and selection criteria
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implement more effective interventions based on up-to-date predictions. The ideal candidate will have foundational knowledge of machine learning and strong self-motivation. You will be supervised by Dr
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, including potential advancement to Associate Professor. Teaching & Curriculum Development Design and deliver undergraduate and postgraduate courses in areas such as mathematical statistics, machine learning
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, including potential advancement to Associate Professor. Teaching & Curriculum Development Design and deliver undergraduate and postgraduate courses in areas such as mathematical statistics, machine learning
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Design and deliver advanced undergraduate and postgraduate courses in areas such as mathematical statistics, machine learning, coding, and algorithmics. Play a pivotal role in programme accreditation
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The Atmospheric Chemistry Research Group (ACRG) and School of Engineering Mathematics at the University of Bristol have developed GATES, a graph neural network (GNN) machine learning model that can
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an advanced data fusion and machine learning pipeline that measures changes in specific mobility-related behaviours over time. Thus, TORUS will create the capability to autonomously, continuously and
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using novel hardware accelerators, and the development of fast simulations using generative machine learning techniques. The main focus of the postholder’s job will be data analysis (including