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can support both health and mobility outcomes. The successful candidate would be responsible for the more technical parts of this project, leading the computational modelling of charging infrastructure
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, supported by PEACEPLUS, a programme managed by the Special EU Programmes Body (SEUPB). The PEACEPLUS programme is co-funded by the European Union, the Government of the United
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modelling experience, an ability to work in a multidisciplinary team and engage confidently with partners. You will have a track record of publishing high impact journal articles, and will have a commitment
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models, and contributing to the dissemination and publication of research findings. The role also involves working in tandem with the Head of Product Policy and the Group Head of Strategy and Planning
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this project, leading the computational modelling of charging infrastructure required to meet electric mobility goals. You would work closely with another researcher on the project focussing on associated
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. This interdisciplinary collaboration with the University of Lincoln and University of Liverpool focuses on developing innovative computational approaches that integrate advanced genomic analysis with state-of-the-art
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of peripheral biomarkers with experience covering pre-clinical models and translational and clinical projects. The post-holder will work closely with clinical teams and translational scientists andwill be
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pipelines Expertise in multi-omics data integration and statistical modelling Teaching and mentorship experience Excellent interpersonal and communication skills across wet-lab, computational and facility
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evaluation of the feasibility and acceptability of a novel remote monitoring model in rheumatoid arthritis outpatient services across south-east London. KIS is a KHP-supported research programme aimed
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of Computer Science Full Time / Part Time Full Time Position Title: Research Assistant / Research Fellow – 15753-1 College/Department: College of Engineering, Design and Physical Sciences/Department of Computer