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are passionate about applying machine learning to real-world clinical challenges. The successful candidate will lead the development and validation of predictive models using multimodal data including neuroimaging
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for Research Staff Development for more information. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in
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. This will involve using physiological measurements using state of the art equipment, undertaking data collection and randomised trials. The studies will optimise will delivery suite management and critically
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barriers faced by disabled students so that they can participate within the King’s community on an equal level to their peers. We offer information, advice and guidance to disabled students (both prospective
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are followed and that deadlines are met. To be the first point of contact for academic and student- support staff, communicating information clearly and precisely and assessing what needs to be passed onto
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analysis plans, undertake sophisticated analyses, and prepare reports for trial steering committees and data monitoring committees. Your expertise will be vital in supporting grant applications, helping
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role This post will be responsible for the day-to-day administration of quality-related processes within the Faculty, including annual updates to programme information, supporting the programme and
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academic and clinical settings Experience with data analysis techniques Desirable criteria Evidence of working with international research groups or consortia, contributing to global perspectives on liver
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a novel system developed in the Serio lab. You will have a track record and experience in stem cell in vitro modelling, bioinformatics, data analysis, -omics approaches in biology and a keen interest
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Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About You To be successful in this role, we