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                to prevent and/or mitigate the impact of E. coli and Klebsiella spp. infections, including those associated with antimicrobial resistance (AMR). As part of this post there is an opportunity to analyse large 
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                surveys, early universe and gravitational physics. Good programming experience, an enthusiasm for coding and data analysis, and the ability to work in a large collaboration, are particularly relevant 
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                We are seeking a Postdoctoral Researcher to join our interdisciplinary food system analysis group at the Oxford Martin School. This ambitious project seeks to use large, data-driven integrated 
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                involve undertaking full time research in grid connected large wind energy system dynamic modelling, control and analysis. In particular, the objective of this research programme is to lay the foundations 
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                statistical and computational methods designed to use “big data” and to address questions of direct or indirect relevance to common complex diseases and disorders. The appointee will join the group of Professor 
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                focus on planning and scheduling of production and associated supply chains, but an understanding of dynamic process models and life-cycle aspects is a big asset. In this work, you also need programming 
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                handling, processing, analysing and interpreting large data sets Experience in mentoring, leading and organising junior laboratory members and laboratory arrangements (e.g. MSc or PhD students) Track record 
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                1 Oct 2025 Job Information Organisation/Company Imperial College London Department Electrical and Electonic Engineering Research Field Engineering » Electrical engineering Researcher Profile First 
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                large-scale social media analysis, smartphone-based sensing, and agent-based modeling. Combining macro-level patterns with micro-level behavioral data, it will examine how polarized content influences 
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                , working with some of the world’s largest single-cell data assets, and in the context of the world’s largest longitudinal population studies, many hosted here at the Big Data Institute, as well as other