9 condition-monitoring-machine-learning Postdoctoral positions at University of Liverpool
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The Department of Electrical Engineering and Electronics is offering an exciting opportunity to work with Sony Computer Entertainment Europe Ltd (UK) to develop next generation gaming environments
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of influential knowledge leadership bringing the School together with students, business and society in learning to make a difference. Over the last five years ULMS has engaged in extensive recruitment of academic
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computer codes to solve some of the daily research problems and have experience with high performance computing. You should have a PhD in Chemistry, Physics or Materials Science with a proven research track
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of materials (e.g., combining structure prediction and machine learning). For example, we work closely with experts in computer science as part of the Leverhulme Research Centre for Functional Materials Design
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“LAHAR-MM: An integrated approach to LAhar Hazard Assessment and eaRly warning using geophysical Monitoring and numerical Modelling”. This project will investigate the characteristics and flow behaviour
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belief seem true involves cognitive phenomenology; experientially taking a belief to be true when we first acquire it and if we later entertain it in thought. (For example, whereas the belief that grass is
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positive approach to learning. The role will involve working as part of a large, national consortium to support the creation of a `science pipeline¿ in a highly collaborative environment. This post is
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related to computer-aided formal verification. The position is funded through the EPSRC-Project Games for Good grant, with Patrick Totzke, Sven Schewe and Qiyi Tang. Collaborations with other local and
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in sheep. The project aims to elucidate host-parasite interactions along the gut-liver axis in sheep and determine whether gut bacteria and liver health status contribute to disease progression and