78 finite-element-analysis Postdoctoral positions at University of Oxford in United Kingdom
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of progression to secondary acute myelogenous leukaemia (sAML). You will take a lead on developing data analysis approaches to search for targetable genetic, epigenetic, or epitranscriptomic mechanisms
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an important component of the research support available at the School. The RAST sits within the School’s Research Office and is managed by the Head of Research Support and Administration. The successful
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is fixed term for up to 36 months with a start date on or before 1st October 2025. This post will involve developing analysis and control methods for systems described by PDEs, with applications in
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, image analysis and tissue biology. Experience in the tumour microenvironment and immune oncology is essential. You will have an excellent publication track record and have the ability to manage your own
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We are seeking a highly motivated Postdoctoral Research Scientist with a strong background in human induced pluripotent stem cell (iPSC) differentiations and computational analysis to join Dr
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. The work will be exclusively in-silico analysis of human rhythmic behaviour, including sleep and chronotype, and cardiometabolic disease. We will use publicly available data and apply causal inference
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supported-lipid bilayers and performing Total Internal Reflection Fluorescence (TIRF) microscopy, together with advanced skills in quantitative image analysis. You will have experience isolating T lymphocytes
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background in Linguistics, and be willing to work in a Linguistically oriented environment. The post holder must have experience with EEG and should be able to carry out EEG acquisition and analysis of EEG
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science, with applications to public and veterinary health, therapeutic development, and pandemic preparedness. You will contribute to method development, data analysis, and collaborative projects, and will
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products (e.g. transcripts and proteins) and imaging analysis. The roles of relevant parasite genes and pathways are investigated using gene expression perturbation approaches, such as RNA interference and