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metabolic disease from the community across East Anglia using a Mobile Phenotyping Unit (a customised vehicle). Successful applicants will contribute to the recruitment of a Metabolic Bioresource of
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of Informatics, Imaging and Data Sciences. You will join an engaged digital health community at Manchester with over 100 across the division, and plugin to our network of over 400 who work across the University in
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of Informatics, Imaging and Data Sciences. You will join an engaged digital health community at Manchester with over 100 across the division, and plugin to our network of over 400 who work across the University in
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University: We are an aspirational and multi-award-winning university, delivering rapid growth with ambitious plans to disrupt the HE sector through our passion for innovation and digital education. Our vision
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community engagement. In this role, you will: Contribute to research on ecological and spatial data for urban environments: Conducting fieldwork, data collection and analysis related to urban air quality and
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different task demands and meet tight deadlines Excellent written, verbal and digital communication skills, in all formats Understands data confidentiality and research integrity Commitment to promoting
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and Digital PCR. Experience with Oxford Nanopore sequencing (MK1C) would be highly desirable. The applicant should also have experience with immunoassays, particularly Sandwich ELISA. The applicant