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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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for Translational Informatics ( www.ctiuk.org ) and actionable analytics theme of the recently awarded Health Data Research UK (HDR UK) London site. Major funding has been awarded by the Office for Life Sciences
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individual and collective wellbeing. Employee support at King’s includes flexible working arrangements, paid maternity/shared parental leave, menopausal support, an active wellbeing programme, training and
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About Us The School of Cardiovascular and Metabolic Medicine & Sciences (SCMMS) provides an outstanding multi-disciplinary environment for the pursuit of cutting-edge cardiovascular and metabolic
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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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Laboratory, to work on the UK Programme of Laser Inertial Fusion Technology for Energy (UPLiFT). This is a 4 year £10M research programme funded by the UK government’s Department for Energy Security and Net
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About Us About the research group: The CAI4CAI group, led by Prof Tom Vercauteren, is an academic research group focusing on Contextual Artificial Intelligence for Computer Assisted Interventions
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highly computer literate, with demonstrable experience in using common software applications e.g. MS Word, Excel, Outlook, Adobe Acrobat, and have the ability to learn quickly and use specialist software
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) publication at top tier ranked international conferences and journals in Computer Science. Person specification: MSc in Computer Science or AI (minimum of 2:1 degree or higher) UK home student status holder
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processing in the mammalian cochlea in vivo , and how these influence central auditory neuronal pathways. The project will primarily involve using in vivo 2-photon imaging and AAV-gene delivery applied to a