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also highly valuable. The successful candidate will be expected to work on estimating dynamic models of medical spending and savings and is expected to publish in high-impact academic journals, and to
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We are looking for a Research Associate to assist our study of the role of ZHOUPI genes in the cell death and breakdown of the embryo-surrounding maternal tissues of the model liverwort Marchantia
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clinical researchers who drive translational radiopharmaceutical development, theragnostics, nanotechnology, metallomics, immuno-imaging, metabolic imaging, functional cardiac imaging, radiobiology, and
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focuses on improving our understanding of multiple sclerosis disease progression and how treatment can impact progression. This work will focus on the unique Novartis Oxford MS (NO.MS) dataset, the largest
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Oxford University Weighting of £1,500 per year (pro rata). Are you passionate about taking a lead role in a cutting-edge project at the intersection of genomics, computational biology, and haematological
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About the Role We are seeking an enthusiastic and motivated postdoctoral researcher to apply advanced data analytics and machine learning techniques to real-world clinical data in the field of viral
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our education, while benefitting them with our talent supply and collaborative research achievements. The University’s unique applied learning pedagogy integrates work and study, embedding authentic
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myeloproliferative neoplasms (MPNs). You will take a lead role in conducting wet lab experimentation, applying state-of-the-art single-cell multiomic approaches and functional genomic screens to patient-derived
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Mead Group to contribute to a major research programme focused on understanding and preventing disease progression in myeloproliferative neoplasms (MPNs). You will take a lead role in conducting wet lab
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, Interventional Radiology and national and international collaborators. The postholder will form part of a small team using cutting-edge technologies to examine different aspects of the abscopal effect, including