107 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" positions at University of London in United Kingdom
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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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with the appointment process. The closing date for applications is 9am BST on Monday 18th May 2026. For more information, please visit the Perrett Laver website at https://plusportal.perrettlaver.com
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with the appointment process. The closing date for applications is 9am BST on Monday 18th May. For more information, please visit the Perrett Laver website at https://plusportal.perrettlaver.com
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About the Role Applications are invited for two Clinical Teaching Fellows in Physiology and Clinical Skills. These are career development posts at FY2/ST level to help teach the next generation of
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About the Role Applications are invited for three Clinical Teaching Fellows in Anatomy. These are career development posts at FY2/ST level to help teach the next generation of doctors. These posts
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:38183983) using cutting-edge genomics technologies (https://www.biorxiv.org/content/10.1101/2024.12.20.629444v5) to provide core knowledge for development of new therapies and management strategies for PPK
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The School is looking to appoint to a Lecturer within the Department of English. Further details of the School can be found at https://www.qmul.ac.uk/arts The post is full-time and fixed-term (12 months) and
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general administrative support to the wider Registry team. Further details about the Registry can be found on our website: https://www.lshtm.ac.uk/study/studentservices/registry-services You should be
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management and communication skills. For an informal discussion about the post, please contact the Hall Life Team: Hall.Life@rhul.ac.uk To view further details of this post and to apply please visit https
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About the Role We are seeking an experienced Methods Advisor to join the QMUL arm of the NIHR Research Support Service (RSS) Hub delivered by Imperial College London and Partners (QMUL, UCL and