143 Education-"https:"-"https:"-"https:"-"https:" positions at University of Liverpool
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supporting undergraduate clinical education within a fast-paced, highly interactive and evolving environment. You will lead a busy team responsible for coordinating patient pathways and supporting delivery
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represents an exciting opportunity for a practitioner who enjoys delivering high-quality clinical care, teaching future veterinarians and, importantly, is passionate about developing and growing a clinical
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, teaching future veterinarians and, importantly, is passionate about developing and growing a clinical caseload. We are particularly keen to hear from candidates with the drive and enthusiasm to strengthen
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possible The Department of Psychology, within the Institute of Population Health, is looking for exceptional early- / mid-career researchers to contribute to our research, impact and teaching activity. You
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the Faculty of Health and Life Sciences, with clinical and teaching responsibilities in the Department of Small Animal Clinical Science. You must possess a veterinary degree and hold membership of the Royal
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group into automated workflows deployed at Unilever. Working with both the Forth group and formulation and automation experts at Unilever, you will develop model systems to explore computer-vision-based
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to progress and develop best practice principles - Engage in relevant training and academic advancement relevant to the postholder’s interests and career ambitions - Support the development of funding
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determined by student intake for the 2026-27 academic year. The successful candidates will contribute to core teaching and scholarship in the Department, be expected to play a part in the activities
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The University of Liverpool is committed to enhancing workforce diversity. We actively seek to attract, develop, and retain colleagues with diverse backgrounds and perspectives. We welcome applications from all
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of medicine and therapeutics within the Department of Pharmacology and Therapeutics based in the Institute of Systems, Molecular and Integrative Biology. This programme aims to develop causal inference models