57 postdoc-position-in-image-coding-"Multiple" positions at University of Liverpool in United Kingdom
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business and process improvement analysts and will work on a wide variety of projects, often complex in nature and usually working across multiple projects at the same time. You will be responsible
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downloading searches, screening abstracts and full texts, data extraction ¿ Recruiting participants and collecting qualitative interview data ¿ Coding anonymised transcripts ¿ Working with members of the public
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opportunity to help deliver the University's research and Knowledge Exchange (KE) ambitions through providing an end-to-end service to ensure the successful management and delivery of multiple KTP projects
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, bio veterinary science). You must also have a passion and demonstrable skills (advanced for postdoc) in R programming and be able to communicate results effectively in writing and verbally with
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imaging and theatres well equipped for both open and minimally invasive surgeries. The caseload is diverse with lots of opportunity to develop expertise in desired areas as well as a large internal
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requirements, relying, for example, on increased granularity and lower material budget. You will play a leading role in evaluating the performances of a number of prototype test structures and stitched sensors
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research associate with an interest in endosomal biology and neurodegeneration for an 18-month position. Project: This is an exciting opportunity to join a growing research team in Dr McMillans lab focused
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-of-the-art imaging and theatres. There is excellent multidisciplinary support. You will be MRCVS. The post is available from 9 June 2025. This role is eligible for sponsorship under the Government Authorised
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friendly, proactive, helpful and approachable image. Working as part of a team, you will carry out day to day tasks as specified by your supervisor or Manager and have a flexible approach to working in all
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for the early detection of mild cognitive impairment (MCI) and prediction of its progression to Alzheimer¿s disease through the analysis of corneal nerve images. You will be based in the Institute of Life Course