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allocations in line with priorities and targets Take the lead and be the first point of contact within the Examinations & Awards Team for the management, delivery and development of the University’s electronic
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to develop relevant ethical and governance approval documents, and activities associated with project management. The post-holder will work within the Division of Population Medicine, based at the University
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the Implementation, Digital Health, and IMPACT team (which focusses on the development and implementation of multifactorial interventions) and the clinical delivery teams. The post provides an excellent opportunity
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develop and apply innovative and appropriate teaching techniques and material which create interest, understanding and enthusiasm amongst students. To carry out on-going curriculum review, including
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affects the brain and behaviour, contributing to the development of psychiatric disease. The lab is well-equipped with state-of-the-art zebrafish facilities, advanced imaging and behavioural analysis
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About the role We are seeking a highly organised, motivated, enthusiastic person to join the DECIDE-TAD team to develop methods that promote the inclusion of underserved groups in a multi-centre
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be made to Professor John Schwabe on js336@leicester.ac.uk As part of the University’s ongoing commitment to professional development, this role will also be considered on a seconded basis for existing
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student projects and work placements, managing existing programme relationships and developing partnerships with publishing contacts. You will also contribute to attracting new students to study and gain
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to professional development, this role will also be considered on a seconded basis for existing staff members. Please ensure this is discussed with your line manager prior to applying. More information regarding
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observational epidemiological research and/or statistical analyses is desirable, as is some knowledge and understanding of the racing industry. In return, we offer a supportive environment to develop your skills