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in a highly interdisciplinary project funded by the European Research Council (ERC). The overall aim of the project is to understand how intercellular signalling in developing embryos allows them
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evolution. Where Covid-19 has resulted in substantial disruption to your work or research outputs, please explain this by providing an additional paragraph in your supporting statement. The University
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against cancer. Within the School, the Comprehensive Cancer Centre (CCC) integrates molecular discovery, drug-development pipelines and patient-facing trials, with strengths in personalised medicine, immuno
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molecular evolution, particularly in viruses with epidemic and pandemic potential, as well as those with significant implications for plant and animal health. This post is part of a Wellcome Trust-funded
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support a high-value materials characterisation programme as a postdoctoral researcher. The ability to think outside the box with creativity, along with having the drive and ambition to develop those ideas
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scientific publications, patents, and seeing collaborators translate our work into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and
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research, adapting existing and developing new scientific techniques and experimental protocols. You will work with limited supervision to design and accurately execute experiments to achieve the goals
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into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and applications (e.g. natural language processing, multivariate time-series data
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12 months. The project involves developing nanopore sensing technologies for functional biomolecules and is funded by Bill and Melinda Gates Foundation. Find out more about the research and group
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. Ready to be part of our team? Let’s shape the future together! About the team: Our group develops and applies quantum mechanics-based methods for the description of condensed matter systems, including