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-pathogen signalling networks in macrophage infection models. You will work in the laboratory of Dr Dominic Byrne, and in collaboration with Claire Eyers from the Centre of Proteomic Research (CPR). You
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to Grade 6. Desirable criteria Experience analysing single-myofiber or muscle-based datasets using modern frameworks and pipelines Familiarity with single-cell multi-omic data integration and network
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Prof Max Roser. This pioneering programme aims to understand and predict how technologies evolve — from artificial intelligence to net-zero innovations in energy, transport, and carbon capture. By
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About the role The University of Leicester is proud to be part of the UK Nuclear Deterrence Network, a collaborative initiative with King’s College London and the Royal United Services Institute. As
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. Through the MRC-funded OpenEP|NET study the post-holder will work closely with the existing study team, supporting system development, technical processing, data management and data science aspects
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groups working on digital health and wellbeing , network science , computational social science , and various topics in machine learning. You will be working in the research group of one of the PIs
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state-of-the-art machine learning and deep learning techniques (such as generative adversarial networks), with empirical fieldwork in Norwegian glacier environments. As a Postdoctoral researcher, you will
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contact with participants after they have taken part in the research. Support the development and submission of funding bids including: working on data and impact plans, networking with non-academic
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information on our structures and initiatives around EDI, including information on staff diversity networks, can be found on our Equality and Diversity Intranet page .
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INTERNAL APPLICANTS ONLY About Us Located in the heart of London, King’s is the hub of a global network of strong academic connections and collaboration, with prestigious international partnerships within