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recently developed in a commercial 65 nm CMOS imaging process by a large international consortium of engineers and scientists for the ALICE ITS3 upgrade and the future experiments, ePIC@EIC and ALICE3@LHC
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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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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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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
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or decentralised applications. You should have good programming abilities, capable of diagnosing issues and resolving coding related problems. You will work to agreed performance standards, optimising processes and
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will involve processing medical image data sets, taking experimental measurements of movement patterns in living birds and conducting dynamic physics simulations of locomotion in both living birds and
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pathways, specifically chromatin and small non-coding RNAs, in regulating gene expression in the parasitic nematode Strongyloides. In this role you will use Strongyloides epigenetic profiling data
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computer codes to solve some of the daily research problems and have experience with high performance computing. You should have a PhD in Chemistry, Physics or Materials Science with a proven research track
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reporting statistical analyses including model development and sharing of open code. - Lead on research publications and outputs, writing first drafts, as well as collaborating with colleagues to support