15 educational-technology-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions at King's College London
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community to shape how the AI systems it depends on handle doubt and disagreement. At that stage, the Research Fellow will design and facilitate co-design sessions with these communities, develop methods
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. The successful applicant will work closely with academic and NHS collaborators including Guy’s and St Thomas’ NHS Trust and the ICR Clinical Trials and Statistics Unit. The post is fixed term for 3 years. It is
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THIS VACANCY IS OPEN TO INTERNAL APPLICANTS ONLY About us: Neurodegenerative disorders are the greatest health challenge of our century. To date there is no way to prevent it or even slow its
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THIS VACANCY IS OPEN TO INTERNAL APPLICANTS ONLY About us: Neurodegenerative disorders are the greatest health challenge of our century. To date there is no way to prevent it or even slow its
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the academic arm of one of the leading cancer centres in Europe bringing together world-class clinical services delivered by our NHS partners, with research and education for the benefit of cancer
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About us: The Department of Psychosis Studies is the world’s leading department for research into psychotic disorders by high impact publications. It is part of the IoPPN; the largest academic
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About us: At the IoPPN, our staff and students work to transform care for people who are affected by mental health and neurological conditions, through world-class research, education and training
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Studies is the world’s leading department for research into psychotic disorders by high impact publications. It is part of the IoPPN; the largest academic community in Europe devoted to the study and
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Biosciences (King’s College London). It will develop pioneering approaches to enable the creation of full molecular ‘maps’ of disease tissue, spanning multiple scales from whole organ down to individual
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in the Mental Health Goals Programme to design and support late-phase studies that make effective use of electronic health records, digital technologies, routinely collected data, deeply phenotyped