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modeling. The role involves developing and implementing computational methods to integrate single-cell and spatial transcriptomics, proteomics, metabolomics, and metallomics data. Using advanced techniques
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and genomic technologies to mental health research. The role will centre on the receipt, processing, and storage of thousands of blood samples, ensuring accurate sample tracking and data linkage within
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fellowships that typically involve trials or epidemiology using big data. There are excellent opportunities to develop, lead and apply novel methods and approaches, in response to complexities in data
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while ensuring strict adherence to trial protocols, ethical standards, and regulatory requirements. A core component of the role will be to work with retrospective data from participants living with
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to ensure a smooth and engaging start to their studies, coordinate assessments and results processing, maintain accurate student data, and will organise and manage events such as inductions and webinars
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processes and returns for King’s. They are responsible for identifying, collating and analysing relevant data, and for clearly communicating the outcomes with colleagues across the university. The Knowledge
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development of proactive individuals who can use relevant data and technologies to tackle real problems in digital health. Digital innovators and the healthcare workforce work together in a multi-disciplinary
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engineering. Our interdisciplinary research brings together engineers, computer scientists, physicists, and clinicians to develop cutting-edge technologies that transform healthcare. This position is part of a
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to supporting activities towards service transition. You will be responsible for improving, designing, and documenting data mapping, workflow and processes, and you will be responsible for making appropriate
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, we have proven local (lung) efficacy via systemic administration of our tool compounds. The project will provide data to allow comparisons between chemical scaffolds (involve synthesis of novel