39 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" Fellowship positions at University of Nottingham
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computers”(under the UKRI Guarantee scheme). Topics include: - Quantum many-body dynamics - Quantum algorithms - Quantum-enhanced numerical methods - Quantum machine learning - Tensor Networks - Topological
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focuses on developing cutting-edge statistical/machine learning methods for fitting complex, multi-institutional network models to partially observed hospital infection data. This research will directly
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Electronic Engineering, Control Engineering, Computer Science or a very closely related topic: Strong understanding of power electronics principles Excellent knowledge on data-driven machine learning algorithm
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expertise in a supportive and innovative environment. In this role, you will lead the computational strand of the project, applying molecular simulations, data analysis, and machine learning to uncover how
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and machine learning algorithms to deliver quantitative diagnosis without destroying the samples. The AF-Raman prototype will be integrated and tested in the operating theatre at the Nottingham Breast
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Bezares (numerical relativity), Dr Stephen Green (gravitational waves, data analysis including machine learning, black holes), Dr Laura Sberna (gravitational waves, black holes, and environmental effects
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on the study of advanced manufacturing technologies and system design. It is supposed to design the manufacturing system and study the material machining performance through different techniques in detail
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interviews and the development of a Reuseable Learning Object (Ethics Training Module). The projects represent 50%:50% split across this role. This role provides an exciting opportunity to work with
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. You will also have the chance to teach built-environment researchers about health-risk and epidemiological principles, helping to ensure that design decisions are grounded in sound public-health