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applied health Intermediate level skills in qualitative interviewing, focus group techniques and observation of participants Intermediate-level skills in statistical analysis, including: Data collection and
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Machine Learning, Human-Computing Interactions, Social Sciences, and Public Health. Applicants should hold, or be close to completion of, PhD/DPhil with research experience in computer science, statistics
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high content imaging, multimodality in vivo imaging, proteomics, spatial and single-cell transcriptomics. As part of King’s Health Partners, we have an excellent environment for basic-clinical
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The Digital Mental Health Group is an innovative and collaborative research group studying the intersection between digital technologies, adolescent mental health and developmental cognitive
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to study health and disease. Accordingly, almost all of contemporary biological science research is critically dependent on our ability to identify which genes are related in different species. The Kelly
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cognition in children and young people as part of a Wellcome-funded project. The post-holder will work with Dr Sukhvir Wright and colleagues at the Institute of Health and Neurodevelopment (IHN) in the MRC
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require close cooperation with other research groups. The position requires PhD in computer science, engineering, or a related field Excellent research track record in AI and sustainability or cloud
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designing and translating technology into the clinical. This role will be supported by the Quality Management Systems team at London Institute for Health Care Engineering who will collaborate closely with
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on their personal development opportunities. Lots of support for health and wellbeing including discounted membership for our state-of-the-art sport and gym facilities and access to a 24-7 Employee Assistance
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for Health and Care Research (NIHR). The aim of this project is to build an instrument, leveraging statistical and machine learning techniques, to allow surgeons to examine the sentinel lymph nodes during