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. The successful candidate is expected to have experience in artificial intelligence and machine learning, big data processing, cardiac image analysis, data visualisation and statistical methods. Strong
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. The Nightingale Centre houses the largest breast cancer unit in the UK and the first and largest Family History Risk and Prevention Centre. It is also home to The National Breast Imaging Academy. A large primary
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. The purpose of the role is to perform experiments to test the feasibility of using a floating mechanical metamaterial to attenuate propagating water waves. This will involve imaging the dynamic reconfiguration
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range of research activities in the field of mRNA processing including the analysis of alternative splicing and polyadenylation as well as mRNA methylation using a Drosophila genetic model. The post
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industry. Our aim is to shine new light on manufacturing processes and products through developing best-in class 3D imaging. Specifically we will exploit and further develop new and upgraded beamlines
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, including subcellular fractionation, live-cell imaging, RT-PCR and ELISA techniques. Successful candidate will become a member of the CAPKR research team and be fully involved in a project entitled “Improving
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of mucosal immunology. Expertise in flow cytometry, imaging, and managing, handling and processing human tissue samples are essential. Candidates should have experience of project development and delivery
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accounts, managing the financial planning, budgeting, forecasting and reporting processes for your area of responsibility. You will develop and continuously improve management information to assist budget
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utilise electrophysiology of freshly dissociated vascular smooth muscle cells from cerebral arteries but also native small artery calcium imaging and pressure myography. Additionally, in vivo approaches
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Sciences Electrical and Electronic Engineering Environmental Sciences Fashion Management and Marketing Imaging and Characterisation Management of Projects in Engineering Materials Mathematics Mechanical