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including cell culture, organ-chip models, tissue engineering, and musculoskeletal biology. The PDRA will plan and conduct experiments, generate high-quality data, prepare publications, make presentations and
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. The collaboration will combine the Universities large-scale genomic data with world-class expertise in neurology genetics, genomics, clinical and basic neuroscience, and clinical development capabilities. About Queen
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data integration for epidemiological innovation, funded by the Wellcome Trust. The CONNECT project offers the opportunity to work with the largest population-based UK cohorts, such as UK Biobank, CPRD
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, the development of clinical diagnostic assays, and bioinformatic analysis of next generation sequencing data would be a distinct advantage. Experience with samples related to Melanoma and Head & Neck cancer
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will plan and conduct experiments, generate high-quality data, prepare publications, make presentations and help supervise associated PhD students. The successful candidates will join large, supportive
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large health datasets on topics including pharmacoepidemiology and non-communicable diseases. The post requires strong data management and quantitative skills with expertise in a common statistical
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for cardiovascular disease in this patient group using linked electronic health record data. The post offers an excellent opportunity to develop expertise in risk prediction methodology for electronic health records
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, the largest school of public health in Europe. We work collaboratively with health professionals world-wide to conduct large multi-centre clinical trials aimed at improving patient outcomes in life threatening
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cover to join from November 2025. Main Responsibilities Contribute to the development of recruitment/engagement plans for potential client partners, providing information to enable efficient and effective
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, whilst desirable, is not essential but the successful candidate will be a quick learner and able to process large volumes of information quickly. They will be proactive in their approach to work and able