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Applicants are invited for the above vacancy in the Division of Informatics, Imaging and Data Sciences, University of Manchester. You will join the Division and take responsibility for an area of
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development of a computational pipeline that integrates multi-omic data at the cellular level across exposomes and diseases, revealing novel biology and shared mechanisms of immune regulation. You will be
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Excellent employee health and wellbeing services including an Employee Assistance Programme Exceptional starting annual leave entitlement, plus bank holidays Additional paid closure over the Christmas period
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of the catalytic and ion transport properties of new 2D materials. The successful candidate should have already submitted their PhD dissertation in Physics, Chemistry, Material Science or related discipline
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, Organometallic, Organic Chemistry and Machine Learning for a period of up to 36 months. The project, funded by EPSRC, will involve exploring the use of machine learning to develop new tools for investigating
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Background This role is central to developing a point-of-care blood test device for pre-hospital diagnostics. Based in the Department of Chemical Engineering at the University of Manchester, you
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of Sociology in the School of Social Sciences. ‘Death administration’ refers to the tasks that must be completed after someone dies, such as notifying officials, dispersing belongings, and managing probate. We
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and wellbeing services including an Employee Assistance Programme Exceptional starting annual leave entitlement, plus bank holidays Additional paid closure over the Christmas period Local and national
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materials • AI, data and advanced computing We seek to employ an Application Scientist with expertise in the materials science of one of the following: sustainable polymers, nanomaterials, data analytics
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engage and influence stakeholders across diverse disciplines. Not essential but desirable: Higher degree in AI, computer science, or related field (or equivalent experience). Familiarity with higher