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at the University of Bristol and the University of Birmingham. Based at the University of Bristol, this research post will focus on developing a suite of configurable machine learning models suitable
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The Particle Physics group of the University of Bristol (tinyurl.com/particle-bristol ) UK, seeks a Research Associate or Senior Research Associate to join its machine learning R&D team
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limited to applying machine learning algorithms for network optimisation, exploring the dynamicity of the quantum network and co-existence scheme of quantum links with classical optical channels. Some
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We are seeking a motivated interdisciplinary researcher to join the University of Bristol, as part of the Aerospace Technology Institute / IUK funded DAWS2 project. The work involves the development
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use cases including but not limited to applying machine learning algorithms for network optimisation, exploring the dynamicity of the quantum network and co-existence scheme of quantum links with
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different levels of organization in biological systems. By employing probabilistic models and leveraging the power of machine learning, we aim to unravel the co-evolutionary dynamics that have shaped the Tree
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environment at the University of Bristol. We provide training to support your needs, and time is allocated for professional development. You have a PhD or equivalent expertise in a relevant, related field and a
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highly inclusive and supportive team and wider work environment at the University of Bristol. We provide training to support your needs, and time is allocated for professional development. You should apply
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of Economics at the University of Bristol, where the candidate would benefit from an interdisciplinary, international research environment, and would be able to gain important research experience and prepare PhD
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the future of Artificial Intelligence (AI) and Machine Learning (ML) through a series of experimental and future-scoping projects to understand how we might shape AI futures within some of our application