103 machine-learning "https:" "https:" "https:" "https:" "https:" "Cardiff University" positions at University of London
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About the Role We are looking to recruit a ELearning Technologist to join the Institute of Denistry. The Technologist for institution-wide learning applications such as the virtual learning
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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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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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-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
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maintenance and in bioinformatic approaches to the analysis of omic datasets is desirable. The post requires good communication, attention to detail, good organisational skills and computer skills. You will be
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View All Vacancies Directorate of Learning and Wellbeing Location: Camden (Kings Cross, London) / Hawkshead (nr Potters Bar, Herts) Salary: £65,823 to £75,631 Per Annum Including London Weighting
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, enabling all staff and students to continue to work and learn efficiently and effectively to achieve their ambitions whilst being proud and inclusive. About You The successful candidates will all need
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, and functional genomics. The Biology Department hosts its own genomic facility and has recently developed a Research Centre on the theme: The Centre for Evolutionary and Functional Genomics (https
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project. Project website here: https://generationsoflondonenglish.org/ . The post-holder will undertake research activities to support the ongoing acoustic analysis of a large child speech dataset, and the