225 data "https:" "https:" "https:" "https:" "UCL" "UCL" positions at King's College London
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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
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judgement when handling confidential information. Desirable criteria Educated to degree level or equivalent Downloading a copy of our Job Description Full details of the role and the skills, knowledge and
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releasing confidential information obtained during the course of employment to those acting in an official capacity. Downloading a copy of our Job Description Full details of the role and the skills
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’ to ablate. Here, we aim to further develop, clinically validate, and prospectively evaluate, a novel in-silico tool that uses patient imaging data to reconstruct personalised ‘digital twin’ cardiac models
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knowledge of prevailing regulations, guidance, best practices and GCP standards regarding the conduct of clinical trials To ensure confidentiality of commercially sensitive information and that data
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-design workshops, interviews, requirements gathering, data curation/annotation activities, and contribute to the design and evaluation of human–computer interface prototypes through design sprints and
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progress of decisions and analysing trends in data. They will work collaboratively with colleagues in Admissions and across the university to ensure a consistent and fair admissions process. This is an
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the portfolio, conduct data analysis, agree on acceptance criteria, identify change requirements and business benefits, evaluate delivery options, and ensure equality, diversity, and inclusion requirements
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trials (and other experimental trials as appropriate), Convey research findings, including complex quantitative information, in a clear and actionable way Develop and maintain expertise in behavioural
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communication skills, with the ability to convey complex information in a variety of formats and to liaise professionally and sensitively with stakeholders at all levels 4. Excellent numerical and data