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engage meaningfully with the radical moral disagreements and informational uncertainty characteristic of contemporary medical science, practice, and policy. Against a background of increasing polarisation
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researchers at the CCGE, Oregon Health & Science University (OHSU), and the German Cancer Research Centre (DKFZ). This research is part of a Cancer Research UK International Alliance for Cancer Early Detection
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to meet deadlines Knowledge of current animal health welfare and topical veterinary issues Qualifications: A degree in veterinary medicine or in a relevant scientific life science discipline that is
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applications and contribute to the evidence-base behind our innovative training programme, to develop compassionate, resilient healthcare practitioners. About you The ideal candidate will have a Master’s degree
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The Digital Mental Health Group at the MRC Cognition and Brain Sciences Unit is an innovative and collaborative research group studying the intersection between adolescent mental health, cognitive
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statistics, health economics, or in a scientific discipline relevant to healthcare (assessed at: application) Have demonstrated experience in relevant research methods, for example through publications in peer
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) together with in-house molecular biology and biochemistry, all housed in a brand-new building with high quality laboratory spaces. Studying the dynamics of DNA replication and chromatin organization
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PDRA studying centromere organisation and function. A 3-year post is available in the Henderson group to study the genetic and epigenetic structure of plant centromeres, and how this relates to their function in cell division and chromosome segregation. A variety of genetic, genomic, and...
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cancer early detection research. The postholder will work closely with researchers from the University of Cambridge, Oregon Health & Science University, the University of Manchester, the German Cancer
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, environmental data science, or a closely related STEM discipline Demonstrated expertise in urban spatial data analytics, with proficiency in GIS software (e.g. QGIS, ArcGIS) and geospatial methods Experience in