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. As Immersive Software Developer, you will design, develop and test digital and data-driven solutions to pressing problems posed by commissioners and providers or health and care services. The role
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Become part of an impactful research project that looks at the intersection between intellectual property, entrepreneurship and innovation in SMEs, with full funding from our four year PhD
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The Civic Health Innovation Labs (CHIL) is a ground-breaking new Centre hosted by the University of Liverpool. It will bring together scientists, engineers, residents and health professionals from different disciplines, organisations and lived experiences to drive an internationally important...
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-funded PhD Fellowships | Applications now open for 2026-27 intake Are you a UK-registered health professional with a passion for global health? Do you want to tackle real-world health challenges in low
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The Department of Psychology are offering one funded, part-time PhD training post. You should hold a 1st Class honours degree, or be working towards a 1st Class degree (or equivalent). The post is
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environment, and benefit from diverse project team skill and expertise. The successful candidate should have a PhD in cartilage, stem cell or protease biology (or a related discipline). Expertise in mammalian
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to contribute to other projects lead by LRiG and HDS colleagues either through methods research or by collaborating with University colleagues, NHS partners and industry on applied projects. You will have at
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. An ability to use diverse methods in the pursuit of applied knowledge is preferred and a PhD, completed or near to completion, in a relevant discipline required. You will have experience of working
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, and implementing the arc model in a commercial software package (Ansys Fluent). The School of Engineering is an Athena Swan Silver award holder and is committed to encouraging, developing and supporting
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offences. The project will take a multi-method approach using methods in experimental psychology and psychophysiology. You will play a key role in designing experimental paradigms for the collection