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remotely). You will have or be close to the completion of a PhD or equivalent in computational sciences (Mathematics, Engineering, Computer Science, Statistics), together with relevant research experience
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to hold a PhD in Immunology, Bioinformatics, Statistics, Mathematics, Computer Science or other related computational subject. It is essential that you have experience in the analysis of single-cell RNA-seq
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Immunology, Bioinformatics, Statistics, Mathematics, Computer Science or other related computational subject, have experience in the analysis of single-cell RNA-seq data (e.g. generated using 10X Genomics
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to deliver the Mathematical Reasoning programme for Year 2 pupils. The project is funded by the Education Endowment Foundation (EEF) and the post-holder will join the interdisciplinary Reasoning First team
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important, complex and difficult decisions. The position is one of a small cohort of senior administrators in the Mathematical Physical and Life Sciences Division, and as such plays an important and respected
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The post is part time (22 hours per week) and available until February 2025 due to parental leave within the team. You will work within the Public Engagement team at the Pitt Rivers Museum to take bookings for school and other public engagement groups. This varied role includes managing...
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an excellent communicator and strong leader to support our postgraduate team, and be committed to delivering an exceptional student experience through first-rate administration of the Mathematical Institute’s
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will be expected to have a PhD in Computer Science, Mathematics and/or Engineering; and/or relevant research experience. You will possess a strong experience in Computing in general, especially around
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of the Mathematical Institute’s undergraduate programmes. The department has a large cohort of around 950 undergraduate students, split across four Joint Schools and two Mathematics degree programmes. You will be
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, statistics, mathematics, engineering or other relevant areas and have up-to-date knowledge in advanced AI topics, such as deep learning, representation learning, sequence models, NLP, multimodal AI, generative