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About the Role We have an opportunity for a Postdoctoral Research Associate in Machine Learning to join PHURI, within the research team of Dr Joseph Taylor working on improving our understanding and
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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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2025. We seek to recruit a Research Associate specialising in statistical modelling and machine learning to join our multi-university multi-disciplinary team developing a groundbreaking technique based
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highly desirable. The successful candidate will be an enthusiastic person, eager to learn and with ambitions for a successful scientific career. About the School/Department/Institute/Project The Centre
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exciting project that will develop new approaches to handle missing data in statistical analyses based on machine learning methods. The Research Fellow will be based in the Department of Medical Statistics
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dynamic mix of molecular biologists, bioinformaticians and clinical fellows providing a unique environment for development and learning in cancer genomics and translational research. We work with large
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for a team player with exceptional communication skills who is enthusiastic about developing cutting-edge cardiotherapies whilst also supporting undergraduate and postgraduate student learning through
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, including seeking opportunities for mutual learning and training. The successful applicant will have a track record of relevant research experience, excellent communication skills, and an ability to work both
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doctoral degree, in sexual and reproductive health or a relevant subject/discipline and a recognised teaching qualification equivalent to the LSHTM Postgraduate Certificate in Learning and Teaching, or to be
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relevant PhD and medical degree alongside registration with the GMC at Specialist Registrar Garde or below. You will have a recent track record in histopathology and use of machine learning techniques, and