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analysing single-myofiber or muscle-based datasets using modern frameworks and pipelines Familiarity with single-cell multi-omic data integration and network or pathway inference tools Experience working in
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at the forefront of innovation in developing engagement and participatory mechanisms, collaborating with a diverse network of experts to influence local and national governments, campaign and community groups as the
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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
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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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-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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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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-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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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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, with a special focus on RNA structure and bioinformatics. This position will focus on the development of methods and algorithms for the comparative analysis of metabolic networks. Your future tasks: We
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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