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). Please also provide information for two referees (this does not have to be your PhD supervisor but should be able to talk directly to your research). The position will involve working with machine learning
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to relevant research case studies within the AI4CI Research Hub. Developing data pipelines, machine learning models, and smart agents in simulated and real environments to develop and test hypotheses around the
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in Medical Statistics and Health Data Science. Applicants should have a PhD in a quantitative area, preferably in machine learning or including a substantial machine learning component. They should
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of algorithms, software and hardware, including cyber-physical systems, compilers, cryptographic protocols, robotics, microelectronics and machine learning, but we will consider applications from outstanding
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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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-computer interaction, the dynamics of electricity generation and consumption, and regulation shape the future impact from manufacturing, use and end-of-life of digital devices and services. You will join an
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of surrogate modelling and machine learning methodologies Experience of structural optimisation. Desirable: Experience of using of Finite Element software Experience of working with/in industry For informal
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such as program verification/analysis, program synthesis and repair, functional programming, type theory, and cryptography. Recently, we also focused on applying machine learning to program analysis
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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