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information/data from one structure can be used to manage similar structures from the same population. New machine learning, sensing and digital twin technologies will be developed with the aim of driving new
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-lab role focuses on the computational analysis and methodological development of third-generation and single-cell sequencing data to understand the role of transposable elements (TEs) in early mammalian
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We are seeking a Senior Researcher to join the Ideker Laboratory at the Big Data Institute (BDI) and the Nuffield Department of Population Health at the University of Oxford. The successful
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recruitment, regulatory approvals, data collection and integrity, data presentation and working with translational samples. The post is intended to provide valuable training in research governance and
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invertebrate data to extant species. Results from model efforts will be used in formal Red List Assessments, in collaboration with the Marine Invertebrate Red List Authority at the Naturmuseum Senckenberg
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electrochemical experiments (in inert atmospheres) and rheology, particularly with Li-ion battery materials, is desirable. You will gather and publish high-quality data, exhibit leadership within the group, present
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, explainable AI (XAI) analysis and data-flow mapping, on welfare-AI systems in the UK, Netherlands and Sweden, contributing to comparative insights and high-quality project outputs. They will collaborate across
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studies, data presentation, etc. Candidates also proficient in quantitative methods will be highly valued, but such skills are not essential. The postholder will be a member of the Saïd Business School’s
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focus on quantitative data collection, analysis and interpretation, alongside supporting the development of research proposals, ethics applications and dissemination of findings. You will work closely
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and data analysis/interpretation skills as appropriate, and specifically with GenAI tools and the statistical analysis of speech data. For informal enquiries, please contact Professor Jennifer Smith