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of mathematical, biological, and clinical sciences. The successful candidate will contribute to ongoing efforts to link multi-omic data with advanced image segmentation and analysis, enabling a more holistic
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the JRRIL that can illuminate the formative period of Coptic history, followed by detailed analysis of the selected manuscripts. To investigate the history of the Coptic archive at the John Rylands Library
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information that is processed through a machine learning element. The role will also require regular contributions to a variety of academic tasks, including positively interacting and communicating with
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The Brockhurst Lab group within the Division of Evolution, Infection and Genomics wishes to appoint a Research Associate to an exciting project exploring the role of mobile genetic elements in
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during inflammation. Initially this will focus on using stroke as a preclinical disease model. These approaches will also be combined with analysis of samples from human patients for clinical relevance
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, consent, randomisation, guiding / supporting volunteers through the trial processes, data collection and analysis, consultation with other researchers, presentation/reporting and preparation of manuscripts
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Overall Purpose of the Job We are looking for an enthusiastic researcher with a PhD in statistical genetics, genetic analysis, bioinformatics or health data science or equivalent. The successful
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will be conducting digital data privacy risks analysis and mobile apps analysis, hence technical background and interest in online tracking technologies is desired. What you will get in return: Fantastic
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opportunity to work at the intersection of multimodal AI, cancer biology and digital pathology. The successful applicant will have a PhD or MSc with a significant machine learning element and/or experience with
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The post holder will support a research programme funded by the Shreeve Foundation investigating the causes of pancreatic cancer risk through the analysis of large-scale molecular and