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lab has developed the OrthoFinder comparative genomic methods. OrthoFinder has become widely-used in comparative genomics research, it powers many popular databases of online genomic information, and
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administrative duties and provide guidance in machine learning methods to less experienced members of the research group, participate in the dissemination of research outputs, and carry out collaborative projects
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, and developing ideas for generating research income. You will supervise and mentor students and research staff, providing guidance on methods, analysis, and career development, and represent the Centre
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scientists, forming small teams focused on ambitious, ‘blue sky’ research for novel methods development relevant for drug discovery analysis pipelines, trial design and operational efficiency. Led by Professor
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developing ideas for generating research income. You will supervise and mentor students and research staff, providing guidance on methods, analysis, and career development. You will also conduct cutting-edge
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for 12 months, with the possibility of extension, starting from 1 January 2026 or as soon as possible thereafter. The research activities focus on new design methods for the foundations of offshore
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Research Council (MRC) and the National Institute for Health and Care Research (NIHR), the project aims to advance artificial intelligence (AI) methods that improve the reliability of clinical prediction
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learn new methods and skills and have excellent communication skills. See the job description for the full list of selection criteria. Informal enquiries should be directed to Dr Jani R Bolla (jani.bolla
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in machine learning and/or computer security and Experience working with LLMs or agent-based systems. Informal enquiries may be addressed to Philip.torr@eng.ox.ac.uk For more information about working
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, implement, and adapt existing self-supervised and multimodal learning methods for the automated extraction and discovery of image-derived phenotypes (IDPs) across large-scale population imaging datasets