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The Quantum Information and Computation group in the Mathematical Institute, led by Prof Balint Koczor, is looking for a highly motivated and exceptionally talented quantum theorist to lead new
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. They will be expected to guide more junior colleagues, including postdocs, research assistants, PhD and project students. The research may involve either analytical work, numerical computations or both
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unprecedented precision, one at a time and in real time (Nature, 2010; Nature Nanotechnology, 2012, 2017; Science 2025). The project involves a combination of optical imaging, nanofabrication, data analysis, and
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will therefore be expected to be familiar with manipulating climate model output (e.g., netCDF data). About you The post holder will hold, or be close to completion of a relevant PhD/DPhil, together
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-learning models based on first-principles data and apply these methods across increasingly complex structures and chemical systems. The role will involve both methodological development (datasets, models
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of Immunity – Artificial Intelligence (CoI-AI) Programme, a pioneering initiative that integrates controlled human infection models, advanced immunology, and AI-driven analytics to accelerate vaccine discovery
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. You will have strong analytical skills, including experience of analysing quantitative and qualitative datasets, conducting qualitative interviews, and using data management systems such as REDCap. You
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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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analytical techniques, opportunities to supervise students, and involvement in manuscript preparation and future grant applications. It is essential that you hold (or are close to completion) a PhD in cell
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to meet deadlines and building effective relationships with internal and external partners. You will collect, analyse and interpret quantitative and qualitative project data, generating insights to support