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and access appropriate training and professional growth. About the role We are delighted to invite applications for a PhD training fellowships at the Cicely Saunders Institute, King’s College London as
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the Medical Research Council. The Research Fellow will be using Natural Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of
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Gibbons, working in close collaboration with Dr Lisa Story and the Perinatal Imaging team. The post will be based at the St Thomas’ Hospital campus and the postholder will be responsible for pregnant
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the supervision of Prof Amedeo Chiribiri within the Department of Cardiovascular Imaging, School of Biomedical Engineering & Imaging Sciences, King’s College London. About The Role Applicants should be medically
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-resolution spatial transcriptomics and multiplex imaging, to turn large-scale data into actionable insights for both fundamental and translational research. About the role We are seeking a Senior
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the supervision of Prof Amedeo Chiribiri within the Department of Cardiovascular Imaging, School of Biomedical Engineering & Imaging Sciences, King’s College London. About The Role Applicants should be medically
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for this role. This role will involve developing and applying analysis plans using a variety of advanced methods with the support of project supervisors. The postholder will have completed a PhD in a relevant
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internationally. The team studies the role of healthcare professionals, managers, commissioners of health services and policymakers as well as organisational structures and processes to try to understand why health
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for clinical sample processing and multiomics approaches (including transcriptomics, genomics, metagenomics etc.). We have joined our teams to provide bespoke support and analysis of single cell, single nuclear
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experience: Essential criteria PhD in psychology, neuroscience, or related discipline. Research experience at the Postdoctoral level. Experience conducting clinical trials, particularly research in NHS