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intelligent and highly distributed systems with the use of advanced AI/ML techniques. Research topics include future mobile networks and 6G, AI/ML for network intelligence, edge intelligence, distributed AI
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A postdoctoral research position is available in the group of Prof. Adrian Mulholland as part of the European Research Council (ERC) Advanced Project PREDACTED (Predictive computational models
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digital chemistry, reducing the timescale of experimental and computational mechanistic studies from years to weeks or days, and so achieving rapid implementation of EAM-catalysed transformations by the end
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the best ways to distribute visual computation along the visual path. The job involves close collaboration with external partners both academic and potentially from industry. The post lasts for up
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undergraduate teaching activities in the School, including small group tutorials, lectures, computational chemistry laboratory classes, workshops, and support classes using a range of effective approaches. You
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We seek an exceptional academic to join our dynamic School of Electrical, Electronic and Mechanical Engineering as a Lecturer / Senior Lecturer in Edge Computing and the Internet of Things (IoT
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volcanic environments. Development and flight testing will run in parallel with field campaigns at three key volcanic sites: Soufrière Hills Volcano (Montserrat), Fuego (Guatemala), and Lascar (Chile
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arrays. Additionally, a high-performance computer cluster is available at Bristol can be used to run large and parallel models. You will have full access to these facilities. You should have a relevant
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., LLMs). Familiarity with MLOps practices like model registries and drift monitoring. High-Performance Computing (HPC): Strong command of Slurm or PBS, GPU optimization with ability to scale distributed
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volcanic environments. Development and flight testing will run in parallel with field campaigns at three key volcanic sites: Soufrière Hills Volcano (Montserrat), Fuego (Guatemala), and Lascar (Chile