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of analysis pipelines Development, maintenance and application of programming scripts for omics data analysis and creation of network and machine learning models Data integration support for analysis pipelines
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intelligence and large language models for data analysis, and bioscientific programming. The candidate should have experience in the analysis of large-scale biomedical data, e.g.: omics or clinical data, using
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of Architecture (UCL), Queen Mary University of London (QMUL) and Goldsmiths, University of London. All relevant programming will be offered as part of the School of Advanced Study’s research training portfolio
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programming, e.g. Python or MATLAB, and an interest in concepts from reservoir computing or machine learning, is welcome A genuine interest in interdisciplinary research at the interface of biology, engineering