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developing machine learning or data science approaches for patient stratification and genetic association analyses using cardiac magnetic resonance imaging in biobank populations. Successful applicants will
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inversion of gravity gradient data, contribute to the development of data interfaces for multi-modal sensor integration, and perform advanced data processing and inference to support subsurface imaging and
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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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of further extension. If you need reasonable adjustments or a more accessible format to apply for this job online, or have any queries regarding the application process, please contact the Institute
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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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We seek to recruit a Research Associate/Fellow to join our team developing a groundbreaking technique based on autofluorescence (AF) imaging and Raman spectroscopy for detection of positive lymph
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, the Sisodiya group focuses on understanding complex epilepsies using a multimodal approach, including clinical phenotyping, genomics, imaging, and other methodologies, with an emphasis on translational impact
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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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experience in microbial and cell culture, experience in cell imaging techniques and the ability to present work with clarity and to a wide range of audiences. Further information is available in the role
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or molecular biology with a basic knowledge of mitochondrial biology. Previous experience in cell culture, imaging and CRISPR screening in mammalian cells is a strong advantage. Experience with