20 assistant-professor-computer-science-data-"Multiple" Fellowship positions at KINGS COLLEGE LONDON
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and deliver research to tight deadlines. The role will involve collaboration with experienced researchers across medical statistics, epidemiology, informatics, social science and integration
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-quality teaching. The Hub for Applied Bioinformatics (HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics
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. For information about the first phase of KIS work (2013–2018) please see: http://www.kingsimprovementscience.org The KIS programme is supported by KHP (£2.5M in total) and aligned to the NIHR Applied Research
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About us: This is a fantastic opportunity for a Research Assistant Psychologist for a Wellcome funded study, SloMo2. SloMo is a digitally supported, cognitive-behavioural therapy for psychosis
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: Essential criteria MSc in relevant health related discipline i.e, applied health research, health services research, social sciences Some experience in data collection and analyses Excellent organisational
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contribute to the analysis and interpretation of imaging and clinical data, and assist in the preparation of scientific outputs such as abstracts, presentations, and manuscripts. They will participate in
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Electronic Health Records from people with epilepsy across multiple NHS hospitals in England and Wales. They are expected to have some experience working with NLP in general and LLMs in particular. Familiarity
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with epilepsy across multiple NHS hospitals. They are expected to have some experience working with NLP in general and LLMs in particular. They will also help to further develop machine learning models
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About Us The post holder will join Professor Vile’s newly established laboratory in the School of Cancer & Pharmaceutical Sciences at King’s College London. They will collaborate closely with Dr
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uncertainty quantification via conformal prediction. You’ll contribute to open-source projects, extending tools like MONAI for the computational pathology community, and support the data science team in