419 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" Fellowship research jobs in United Kingdom
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organisational and time-management Strong communications skills as this post will be dealing with a wide range of colleagues For further information about this position and to apply, visit http://jobs.sgul.ac.uk
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candidates will have specialist knowledge in signal processing and algorithm design, with experience in machine learning, AI system development and reinforcement learning along with a strong publication record
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of manufacturing. We have identified an opportunity to combine continuous microfluidic (µF) process models, process analytical techn ology (PAT) and machine learning (ML) to achieve a paradigm shift in bioprocess
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a full job description please visit UCL’s online recruitment portal (https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs ) and search using vacancy reference B02-10144. To apply, please upload a current
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methods and statistics. Specialist skills in bronchoscopy, EBUS and teaching are desirable with a willingness to learn new skills. The post holder will be required to work independently and as part of a
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Surrey’s track record of translating fundamental machine learning, spatial audio and audio-visual AI into groundbreaking creative technology. About you We seek a talented Research Fellow to investigate
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Marine Research Institute (LOOM) at Liverpool John Moores University, UK. LOOM enjoys an international research reputation on ocean engineering studies, https://www.ljmu.ac.uk/research/centres-and
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apply via the link below: https://jobs.sgul.ac.uk/679-26 For an informal chat contact Dr Eva Galiza on 0208 725 2788 or by email egaliza@sgul.ac.uk. City St George’s offers a sector-leading salary
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About the Role A fantastic opportunity has arisen for a Senior Research Fellow to join the Power Electronics, Machines and Drives Research Institute (PEMC) at the University of Nottingham and become
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and the seventh century CE: https://www.nottingham.ac.uk/news/research-on-early-british-voices-and-identities. This project will use datasets previously curated by team members which will be