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, alignment, and characterisation of laser-based instrumentation. • Strong experience with computer programming, both for signal processing and experimental hardware control (e.g., C, C++, Python, MATLAB
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institutions, and leading industry partners. The successful candidate will contribute to the delivery of high-impact research projects involving AI algorithm evaluation and image data analysis. You will play a
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a PhD in Computational Biology, Applied Mathematics, Statistics, Biostatistics, Epidemiology, Bioinformatics, Computer Science, Neurological Genetics or a closely related discipline. Excellent oral
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the supervision of Prof Amedeo Chiribiri within the Department of Cardiovascular Imaging, School of Biomedical Engineering & Imaging Sciences, King’s College London. About The Role Applicants should be medically
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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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Ref NumberB02-08605Professional ExpertiseClinicalDepartmentSchool of Life & Medical Sciences (B02)LocationLondonWorking PatternFull timeSalarySee advert textContract TypePermanentWorking TypeOn
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(https://www.cam.ac.uk/research/research-at-cambridge/strategic-research-initiatives-networks ). The School of Biological Sciences has state of the art facilities in imaging, high performance computing and
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discipline such as Earth observation, data science or computer science Knowledge, Skills & Experience Sufficient breadth or depth of specialist knowledge, in the application of Earth observation
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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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image processing or phenotyping with a collegiate and self-driven attitude towards multidisciplinary research. About the Role The role includes carrying out fundamental plant science research related to a