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including cell culture, organ-chip models, tissue engineering, and musculoskeletal biology. The PDRA will plan and conduct experiments, generate high-quality data, prepare publications, make presentations and
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About the Role The combination of personalised biophysical models and deep learning techniques with a digital twin approach has the potential to generate new treatments for cardiac diseases. Our
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CV (see this guide from the Royal Society ) and shortlisted candidates will receive the interview questions in advance. For an informal discussion about the post, please contact Edward Vallance
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narrative CV (see this guide from the Royal Society ) and shortlisted candidates will receive the interview questions in advance. For an informal discussion about the post, please contact Claire Kennan
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Grant “Advancing Gravitational-Wave Astronomy Using Artificial Intelligence” led by Dr Greg Ashton. The successful candidate will join Royal Holloway’s Astronomy Group and conduct research activities
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unique opportunity for enthusiastic early-career researchers to contribute to an established team that has already made important scientific impact, advancing our understanding of the cell biology of
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materials. Practical experience in fabricating 2D materials and a deep understanding of their structure-property relationships are highly desirable. You should also have expertise in advanced characterisation
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developed human discovery infrastructure enables recruitment of 200-300 severely injured patients annually as part of the ACIT study. We also have a well-established experimental modelling group with full
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imagination for atomistic structure and dynamics; an interest in fundamental science with real-world applications; and both the initiative to work independently and the skill to collaborate in a
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disease progression. About You Applicants should hold a PhD degree or equivalent in biological or related science and have a strong background in immune cell biology and animal models of inflammatory and/or