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our dynamic interdisciplinary group and lead pioneering research to develop novel machine learning algorithms specifically designed for complex systems analysis. Your role will offer a unique
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them to the electric ducted fan design. First, there are many Machine Learning algorithms available and there are several cases of successful adoption of these into aerospace engineering. However, they
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Organisation Cranfield University School/Department Cranfield Defence and Security Based at Cranfield Campus, Cranfield, Bedfordshire Hours of work 37 hours per week, normally worked Monday
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used to understand the impacts of future changes in land management or climate on methane dynamics. The successful candidates will work closely in collaboration with partners at Aberdeen and Cranfield
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The Role We invite applications for a Postdoctoral Research Associate to engage in cutting-edge research applying AI/machine learning in biomedical image analysis, specifically utilising deep
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About the Role Applications are invited for a post-doctoral research associate to lead on a Barts Charity funded project. The research involves application of machine learning methods to heart and
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new privacy enhancing technologies, privacy sensitive machine learning to personalise automatic online safety responses and immersive simulation environments to explore how safety and can be compromised
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statistical/computational genomics, machine learning, computer science, bioinformatics, epidemiology, or related field with relevant experience. You will have excellent communication skills, including
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to funding. This post is full time. This project will involve adapting and using our existing ultracold erbium and potassium machine for studies of e.g. turbulence, dipolar supersolids and polarons. We
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company at Bristol under the guidance of Dr Euan J. Allen. The Role We invite applications for a Postdoctoral Research Associate to engage in cutting-edge research applying AI/machine learning in biomedical