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, demonstrating strong proficiency in electronic structure calculations, high-performance computing (HPC), and code development for molecular spectroscopy. This full-time, 3-year position supports the STFC-funded
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Applicants are invited for a PDRA position at the Nuffield Division of Clinical Laboratory Sciences (Radcliffe Department of Medicine) - University of Oxford to participate in a major new
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learning for cardiovascular digital twins and AI-enabled precision treatment. The postholder will develop patient-specific models that integrate multimodal clinical, physiological, imaging and sensor data
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to: to develop and evaluate one pilot programme with our partners Two Lives London and their supply chain partners produce a set of case studies that would enable the Centre to identify & specify a full
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of Informatics at King’s College London. The position is full time and available till 30th April 2028 with immediate start. About the role The PDRA will be working on a project on resilient pattern mining, which
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out research for a discrete area of a large project. The post holder provides guidance to less experienced members of the research group, including postdocs, research assistants, technicians, and PhD
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research, contribute to grant development, and produce publishable academic outputs. This is a full time position. The appointment is for 12 months in the first instance, with the possibility of extension
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or population genetics, or a related discipline. You should have relevant coding experience and a strong background in software development, algorithm design, and the production of high-quality scientific
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from multiple departments. The aim is to develop and apply multimodal 3D imaging and analysis frameworks to quantify tissue architecture and protein expression in paraffin embedded tissue samples
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develop and apply multimodal 3D imaging and analysis frameworks to quantify tissue architecture and protein expression in paraffin embedded tissue samples at scale. By integrating AI-drive image analysis