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From a Bletchley Park code-breaker to Nobel Prize-winners and the inventor of the phrase ‘Big Bang’, Research Fellows of St John’s have made remarkable contributions to the world. Now applications
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-edge research into community participation, while developing skills and experience in new methods and data, within a large multidisciplinary research centre. The post holder will work under the
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to data analysis and biological interpretation. Role Summary Develop, implement, and apply advanced reproducible computational tools and workflows to process, analyse, and interpret large-scale LC–MS-based
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of data on invasions, their impacts and their management. The scientist will also analyse data to quantify the costs and benefits of the use of nonnative trees in forestry. They will use these analyses
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supporting a large-scale collaborative research programme between KCL, UCL, Stanford University, and the National Cancer Institute (NIH) through 2025-2030. The post-holder will join early in this new research
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. Knowledge of qualitative data acquisition and analysis and a keen interest in further developing your skills would also be an advantage. You will be a skilled and sensitive listener and communicator, able
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the Medical Research Council. The Research Fellow will be using Natural Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of
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opportunities, we anticipate a large number of applications at CSER; due to the limited amount of workspace available, we can only forward a small selection of these to the British Academy. Applications should be
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CRISPR and other molecular genetic technologies to study infection dynamics. Analyse Complex Data: Apply computational and biostatistical methods to analyse large data. Collaborate Across Disciplines: Work
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essential. Familiarity or experience of management and analysis of large multidimensional real world data sets using Stata, R, Python, or similar. Knowledge of C++ would be advantageous but not essential