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inference attacks, to mitigate privacy leaks in MMFM. You will hold a PhD/DPhil (or be near completion) in a relevant discipline such as computer science, data science, statistics or mathematics; expertise in
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programming skills for data analysis. Excellent organisational and communication skills as well as ability to work as part of a team are essential. This is a fixed-term appointment available for 1 year. If you
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The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity
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-established data resources accessed within a secure Trusted Research Environment for large-scale analysis. This role offers excellent opportunities to engage with a broad network of collaborators including
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Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods
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to determine the activators of inflammation in atherosclerosis. You will identify and develop suitable techniques, and apparatus, for the collection and analysis of data (e.g. flow and mass cytometry, confocal
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culture and analysis, multi-omics and bioinformatics. The biological focus will be on vascular biology, immune cell function and metabolism, with an emphasis on understanding the role of new genes and
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We are seeking a research fellow to work on a project on global food systems analysis. This is an exciting opportunity to join a new multi-disciplinary research team on food systems analysis jointly
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volcanoes in the eastern Caribbean. Research will include analysis of materials from pre-existing sample collections, and also collaborative fieldwork to collect new samples. About you You will hold or be
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, applied mathematics, or related fields. The ideal candidate should be organised, highly motivated, creative, and interested to work as part as a collective. A strong track record of first-author