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samples and disease models. Working closely with a dynamic and multidisciplinary team of clinicians and scientists, they will help generate and interpret high-resolution datasets that reveal new insights
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currents form the deepest canyons, longest channels and largest sediment accumulations on our planet. They also break seafloor telecommunication cable networks that form the backbone of global data transfer
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analyses to patient-derived samples and disease models. Working closely with a dynamic and multidisciplinary team of clinicians and scientists, they will help generate and interpret high-resolution datasets
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of the School of Biomedical Sciences with the School of Medicine. The merger brings together basic, translational and clinical scientists to provide new cross-School research collaborations while optimising
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support a national and international community of more than 3000 scientists for research into subjects ranging from clean energy and the environment, pharmaceuticals and health care, through
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national contexts. The post holder will be based at the Department of Global Health & Social Medicine; a unique interdisciplinary community that connects social scientists, biomedical researchers and
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all findings for review and analysis. Team Collaboration: Collaborate closely with multidisciplinary teams, including biomedical engineers, data scientists, and clinicians, to ensure the successful
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Fixed-term: The funds for this post are available for 1 year in the first instance. The position is available immediately. We are looking for passionate and creative scientists to join our team as
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to answer pressing biological questions across development, cancer and immunology. We work shoulder-to-shoulder with biologists, clinicians, engineers and data scientists, providing an exceptionally
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We are seeking an ambitious scientist to join a vibrant team examining the evolution of locomotion in birds. The overall aim of the project is to deliver an exhaustive anatomical and functional data