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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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should have a PhD in Mechanical Engineering, Materials Science, mathematics, physics or relevant field with emphasis on machine learning. You will have experience of relevant theoretical and numerical
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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
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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