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will help to develop advanced, real-time atmospheric turbulence correction algorithms to enhance the long-range imaging quality of optical sighting systems. You will embed new knowledge
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We are looking for a Research Associate to help design collaborative and distributed AI for manufacturing sustainability, working across human, digital, and robotic agents. This role is part of a
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tools for the prediction of composite manufacturing processes. You will work on development of algorithms, custom written codes, application of commercial finite element software and development of user
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to characterising the dynamics of crystallisation in the run up to eruptions. Using textural analysis of gathered samples (including crystal and vesicle size and shape distributions) to understand changing eruptive
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) and BOPS (https://www1.gly.bris.ac.uk/BOPS/ ) research projects. The post-holder will conduct research to advance the use of high-density “nodal” arrays and/or Distributed Acoustic Sensing (DAS) to: (i
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. We are especially interested in candidates who complement and extend our existing AI research portfolio in areas including: Natural Language Processing and Large Language Models Distributed and
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Language Processing and Large Language Models, Distributed and Collective Artificial Intelligence, Reinforcement Learning and Multi-agent Reinforcement Learning or alternatively, from candidates innovating with AI in