96 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "NORTHUMBRIA UNIVERSITY" positions 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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About the Role Applications are invited to for the post of Clinical Learning Facilitator, for which five posts are available. This is a career development post at ST level to help teach and
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London-based universities and the UK’s largest provider of international distance and online learning. Our 17 federation members rank among the world’s leading universities. Collaboration is at the heart
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wellbeing at the College, and providing the highest standards of estates and facilities across the university, preparing and helping to sustain the University’s working and learning environmental for students
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. Applicants should have a good command of the English language both written and verbal, candidates must be computer literate. You will be required to be able to carry out manual handling tasks and good customer
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The University of London The University of London is the UK’s largest provider of international distance and online learning and the convenor of a federation of 17 London-based universities, many
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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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engaged the services of Odgers, to whom applications should be sent at your earliest convenience to https://www.odgers.com/en-gb/opportunities/?r=0#AssignDetail.aspx?guid=95126 For a detailed conversation
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working on insect cognition and its welfare implication. For more information about the research context see http://chittkalab.sbcs.qmul.ac.uk/Lars.html Main duties and responsibilities are: Maintain insect
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-quality publications and externally funded research that aligns with or compliments the RVC’s existing research strengths in Biomedical and Clinical Sciences (see link at https://www.rvc.ac.uk/research