13 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" research jobs at University of London
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the design, development, deployment and evaluation of NeoShield’s applied machine-learning systems, the machine-learning-driven Clinical Decision Support Algorithm for neonatal sepsis and the real-time ward
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the learning process. You will be able to develop novel and appropriate methodologies to support current research activities of the QMUL SPRING group (including: sensor modelling, noise factor analysis, machine
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search strategies and lexicons. Proficiency in fitting and validating statistical models or machine learning algorithms is essential, along with advanced skills in R and/or Python for data processing and
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implementing Quantum Monte Carlo methods experience applying Machine Learning methods to scientific problems About the School The School of Physical and Chemical Sciencesis one of the UK’s elite research centres
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, machine learning, data pre-processing, fusion, etc.). This will require engagement with sector and subject matter specialists at all levels of employment to understand the current industry practice and
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The University of London The University of London is both the UK’s largest provider of international distance and online learning and the convenor of a federation of 17 renowned higher education
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successful candidate must have a PhD (or equivalent) in the field of computer vision or a closely related area. They will possess the skills and ability to conduct high-quality, innovative research and to
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orientated specialty. Experience in applied health research is desirable but not essential, as you will learn in this role, which lends itself well to a secondment. Experience working with diverse communities
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About the Role This is an opportunity to join an established, high-profile, team that is working on various aspects of cloud computing and AI law. Members of the team also teach on courses in cloud
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pathways involved in kidney disease. They should be eager to learn and implement new experimental techniques, contribute to the day-to-day management of the laboratory, and take ownership of laboratory