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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research
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-funding from partners including Science Card and Bruntwood SciTech. The funding has been made through the Research Ventures Catalyst (RVC) programme, which was set up to provide funding to take truly novel
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-funding from partners including Science Card and Bruntwood SciTech. The funding has been made through the Research Ventures Catalyst (RVC) programme, which was set up to provide funding to take truly novel
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data from a variety of sources, including Spatial Transcriptomics and multiplex Spatial Proteomics platforms and developing skills in computational biology and mathematical spatial analysis via
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of Engineering Science (central Oxford). The post is funded by the EPSRC research funds and is fixed-term for up to one year. The successful applicant will have experience on using sequential decision-making methods
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projects. It is essential that you hold a PhD/DPhil in a quantitative or computer science related subject (e.g. Statistics, Machine Learning, Biostatistics, AI, Engineering), and have post-qualification
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PhD in Chemistry or a relevant subject area, (or be close to completion) prior to taking up the appointment. The research requires experience in computational chemistry, including machine learning
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in and/or experience of research with people with neurodevelopmental conditions or clinical informatics using real-world electronic health data. The Research Assistant will play key role in
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-funding from partners including Science Card and Bruntwood SciTech. The funding has been made through the Research Ventures Catalyst (RVC) programme, which was set up to provide funding to take truly novel
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Medicine, University of Oxford is to re-programme immune cells as part of a larger programme to develop novel therapeutics (viral vector and/or extracellular vesicle-based) for myocardial regeneration. Key