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Full-time: 35 hours per week Fixed-term: 31st July 2028 We are looking for an enthusiastic post-doctoral researcher with experience in analysing genetic and other molecular data. The Opportunity
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This is a Research Fellow post to support the NIHR funded programmes OPtimal Timing of Induction of labour to improve Maternal and perinatAL outcomes (OPTIMAL): An individual participant data meta
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Medicine (CTM) (50%). This post will support analysis of multiomics data (e.g. single cell and single nuclear RNA-seq, spatial transcriptomics, proteomics etc.) generated by the Borne Uterine Mapping Project
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to policing data, with potential expansion to additional sectors such as health, education or justice in subsequent years. This will include contributing to the development of review and verification plans
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and of research methods and techniques Experience of organising meetings and research events Experience of data collection and data analysis (including visual data) and data management Evidence of
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remission as a model of flare vs remission with a 50% relapse rate. Initial data analysis has taken place using the 10x Chromium single cell sequencing identifying putative cellular subpopulations
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applicable, desirable criteria listed in the Candidate Information. This post is available for 6 months.Fixed term contract posts are available for the stated period in the first instance but in particular
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This role will be based on the university campus, with scope for it to be undertaken in a hybrid manner. We are also open to discussing flexible working arrangements. Are you a Computer Scientist
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verification and assurance options, Specifically, the role will involve investigating: Excessive Agency and discovery of data and other misconfigured attack vectors an AI system can exploit. Misuse, by analysing
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. Are you a Computer Scientist looking to apply your expertise to real-world weather forecasting challenges in Africa? Machine-learning has the potential to revolutionise weather prediction for and in Africa