21 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "P" research jobs at King's College London in United Kingdom
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’ Hospital in central London in the School of Biomedical Engineering & Imaging Sciences at King’s College London: https://www.kcl.ac.uk/bmeis . There is an unmatched infrastructure in place to support the
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more about our research and collaborations, visit the Biomedical AI and Data Science Group website https://www.hebasailem.com/ . About The Role By joining our team, you will gain hands-on experience
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; physiology and women's health. We also have thriving research programmes in global health, and health and social care. Further information about the Faculty of Life Sciences and Medicine may be found at https
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immunoregulation and epithelial defence in a P. gingivalis periodontitis model. Clinically, the group is also interested in investigating the role of vitamin D signalling in specific cohorts of patients affected by
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countries involved in the SHARE project, including developing an inductive coding schedule relevant for all countries, ensuring country workshops run as planned, and organising country collaborations
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Career Development Award to Dr. Wu investigating the cancer recognition code of gamma delta T cells. The post holder will be required to provide technical support to the experimental work being undertaken
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formats (DICOM, NIfTI) and image preprocessing tools (e.g., MONAI, SimpleITK). Excellent programming skills, demonstrated through available code or projects, with proficiency in Python and deep learning
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functional neuroimaging or omics information, and/or temporal data as recorded using smartphones and/or wearable devices Excellent statistical and coding skills with demonstrated ability to apply and combine
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subject Knowledge of neuroimaging, machine learning, and/or neurodevelopment Proven record of ability to conduct high quality research in relevant health related subject Previous coding experience (e.g
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methods Experience with version control systems (e.g., Git) and collaborative coding practices Familiarity with statistical analysis and hypothesis testing in a research context Downloading a copy of our