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discovery is essential. Relevant specialist expertise aligned to one of the three projects, experience with advanced tissue models or sequencing technologies, and prior industry collaboration experience would
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sequences to study phylogenetic relations. About you The successful candidate will be educated to PhD/DPhil level with relevant experience in molecular plant biology and biochemistry. They will work closely
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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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the sequence of the human genome and the development of common diseases. You will work on a collaborative project that aims to develop Machine Learning and laboratory-based approaches, for decoding how the human
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modelling, and machine learning approaches to analyse large-scale datasets, including bulk and single-cell sequencing, gene expression arrays, proteomics, and metabolomics. Working closely with senior
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experience with MRI acquisition, image reconstruction, signal modelling and/or image analysis is essential, and further experience in one or more of the following would be advantageous: MRI pulse sequence
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for informing biosecurity risk assessments and be skilled at communicating their research to stakeholders across multiple sectors. How to apply The University of Oxford is committed to equal opportunity, and to
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will include coordinating multiple aspects of the project, refining working hypotheses in light of new data, and contributing ideas for new research directions. The post-holder will be encouraged
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. They will be able to perform advanced modelling for informing biosecurity risk assessments and be skilled at communicating their research to stakeholders across multiple sectors. How to apply The University
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while contributing conceptually to the overall research programme. This will include coordinating multiple aspects of the project, refining working hypotheses in light of new data, and contributing ideas