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. Keeping up to date with emerging approaches and technologies across bioinformatics. About you You will have: A degree in Bioinformatics, Computer Science or a related discipline, alongside a scientific
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or more areas from NetOps and DevOps. Degree (or equivalent practical experience) in computer science, computational or ML/AI research or in a natural science with a high degree of competence in
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the specific engineering details of the contact layer created during the Linear Friction Welding (LFW) of Titanium alloys. The successful candidate will have a first-class or upper second-class honours degree in
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HOURS: 36 CLOSES: 14 October 2026 at 23:59 THE ROLE The Institute’s Research Engineering Group work to realise cutting edge research as professionally usable software tools and to apply
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Sciences Division and is the largest European academic department in its field, running a globally competitive programme of research and teaching. The Kennedy Institute is a biomedical research centre
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multidisciplinary research programme spanning infection biology, molecular genetics, genome engineering and transgenesis. The successful applicant will provide specialist technical expertise essential to the delivery
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are looking for: Skills/ experience required for this exciting role include: Essential Postgraduate degree (MSc) in computer science, AI, or similar. Demonstrable competence in machine learning, medical image
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About the Role This role sits within IT Services as part of the AI & Automation (AAA) Programme, which is embedding AI and automation into how Queen Mary University of London operates. The AAA team
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The GW4 BioMed3 Doctoral Landscape Programme is offering up to 18 MRC funded studentships across a range of biomedical disciplines, with a start date of October 2027. These four-year studentships
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We are seeking a motivated and collaborative individual to join our team as an Clinical Senior Lecturer, Academic Lead for year 5 of our MB ChB Programme. This role offers an exciting opportunity