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THIS VACANCY IS OPEN TO INTERNAL CANDIDATES ONLY About Us We are seeking a highly motivated and experienced researcher to work on the large-scale programme and associated projects of the Data
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Expertise in digital health, AI, wearable technology, and strong understanding of multimodal data analysis Experience and evidence of aptitude for leading large-scale digital health research projects Strong
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UKRI. This post will be situated at KCL, working with and across this large, disseminated UK-wide partnership spanning 10+ universities and other organisations across the country, alongside people with
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mentoring junior colleagues Desirable criteria Experience in handling complex data from large observational dermatology studies Evidence of contribution towards developing and submitting research funding
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performing large scale data processing, data management, and production of reports that supports the student’s lifecycle from enrolment to award. We are part of the wider Students & Education Directorate (SED
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environment, have a knack for supporting people and HR processes, and excel at managing large budgets then this role is tailor-made for you. Communication with diverse audiences and building collaborative
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London Endodontic unit is one of the largest in the world with 35 specialist trainees in Endodontics, a large number of clinical teachers and an intense research activity: the undergraduate teaching unit
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large numbers of patients with epilepsy. We propose to use our open-source EHR database processing and NLP AI data pipeline and toolset to extract this EHR information and structure it. Once in this
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of the large-scale programme and associated projects of the Data & Digital Alliance Team (DIGIT) of the Mental Health Goals Programme. DIGIT-MHG is part of a UKRI funded programme to create an innovative
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health. The post holder will develop innovative AI techniques approaches applied to oral healthcare, with a particular focus on Large Language Model-based multimodal data understanding and reasoning