9 modal-analysis-machine-learning Postdoctoral positions at University of Liverpool in United Kingdom
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To undertake research on the evolution of prokaryotic pangenomes using machine learning and AI approaches. The work will involve the analysis of large prokaryotic genome datasets, the development
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to conduct multidisciplinary research around robot learning for autonomous robotic chemists, with a background of excellent research outputs across Robotics and Machine Learning, ideally with a background in
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, artificial intelligence/machine learning, digital twins, and blockchain technology for operations and maintenance. This position is part of the Maritime Future Fuels Training Plan project, which aims
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statistics or economics, with experience in epidemiological analysis, statistical programming (e.g. R ) . The post is available for up to 26 months, full-time, with hybrid working from our Liverpool campus
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prison sites, recruitment and data collection, and complex data analysis. You should have a PhD (or near to completion) and an Undergraduate degree in psychology or a relevant discipline. You will have
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, including engineers and veterinarians, to assess the effectiveness of the AG ARC machine. About You This position is ideally suited to a microbiologist with strong laboratory skills and an interest in applied
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for the early detection of mild cognitive impairment (MCI) and prediction of its progression to Alzheimer¿s disease through the analysis of corneal nerve images. You will be based in the Institute of Life Course
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. ¿ Study design, protocol development and laboratory diet planning. ¿ Leading on participant recruitment, data collection and analysis. ¿ Supervising a graduate level research assistant
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degree (or near completion) in Electrical Engineering, Computer Science, or a closely related subject. Research experience in wireless communications and deep learning is essential. The project will also