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contributing to a Motor Neuron Disease Association (MNDA)–funded project focused on improving the assessment and management of pain in people living with motor neuron disease (MND). This innovative programme is
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This is an exciting opportunity to join one of the most successful College philanthropic programmes. This is a senior role on the Clare Development Office Team with responsibility for supporting the Development Director in the management and running of the Development Office. The role is...
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required to complete this training programme and sit the ECVN certifying examinations (a recognised qualification in a UK regulated profession). You must have relevant experience in primary care veterinary
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We are seeking a highly motivated Research Assistant to join, the new MRC Centre of Research Excellence in Therapeutic Genomics programme. The postholder will join Professors James Davies and
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to university life. You will work a rotating 12-hour shift pattern of 4 on and 4 off (2 days followed by 2 nights, including weekends and Bank Holidays). A comprehensive training programme is provided, including
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for at least the three years preceding the start date of the research degree programme. Applicants who already hold a doctoral degree or who have been registered on a programme of research leading
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instrumental in delivering an assurance programme across a number of work streams. The post holder will be responsible for the security governance framework for the building and associated activities and
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of Psychology, supervised by Associate Professors Dr. Katja Kornysheva (School of Psychology), and Dr. Jian Liu (Computer Science). This post is funded by the College of Life and Environmental Sciences
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to travel to any building within the University’s property portfolio and will need to transport tools. Familiarity with IT systems, including Computer Aided Facilities Management (CAFM) system / other general
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research project investigating the computational and neural principles by which multimodal information is encoded and combined in human perception. The research will combine computational modelling with