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Resonance (NMR) Experience with experimental NMR techniques and methods for imaging and spectroscopy and an ability to contribute to developing new methods Experience in pulse programme design desirable
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Ref NumberB02-08605Professional ExpertiseClinicalDepartmentSchool of Life & Medical Sciences (B02)LocationLondonWorking PatternFull timeSalarySee advert textContract TypePermanentWorking TypeOn
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parasite biology and access to facilities including a derogated CL3, and state-of-the-art flow cytometry, genomics and imaging facilities. Applicants with enthusiasm for teaching at undergraduate and
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Drosophila melanogaster lines, performing confocal imaging and running behavioural assays with fruit flies. You will also help ensure the smooth operation of the Treiber lab, by monitoring lab stocks, managing
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College and is based in FoLSM’s School of Biomedical Engineering & Imaging Sciences (BMEIS) with cross-faculty collaboration with the Departments of Engineering and Informatics in NMES . AE-PSI’s ambition
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, immunofluorescence, cellular biochemistry, proteomics, and image-based analysis. There’s also scope to expand into computational biology, high-content imaging analysis, and data-driven modeling, depending on your
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MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE | Ae Village, Scotland | United Kingdom | about 1 month ago
Population-level Cohort and EHR Analysis Epidemiology Pandemics Biomedical Imaging The Department of Computational Biology focuses on developing and applying cutting-edge analytical, mathematical, and
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About the role We are looking for a highly motivated and curious research assistant with a background in biology, neuroscience or a related field to join the exciting “innovaTEbehaviour” project
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order to gain novel understanding of the molecular mechanisms underlying disease. About You You will have a PhD (or equivalent qualification) in computer/statistics/data science or similar field. You will
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position that can be applied across a broad range of industrial sectors, bringing the benefits of passive linear optical superresolution to the domain of in-process control for additive manufacturing