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the origin of seed gene networks”. This project aims to use reverse genetics, cross-species complementation and single cell next-generation sequencing approaches to investigate how the gene networks
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tasks, supporting senior researchers and working across our national and international network. We expect the successful candidate to contribute to our unit’s already excellent reputation. The department
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Scientific Corp). Your role will be to support funded collaborative clinical projects undertaking bespoke research tasks, supporting senior researchers and working across our national and international network
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Previous experiences in simulation-based experiments in networking research Strong mathematics background for optimization and analytical modelling of complex systems Programming languages including C
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The University of Southampton is committed to excellence in all we do, applying our insights and inventiveness to solve complex engineering and environmental challenges. As a world-leading, research
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-depth characterisation and annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based
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applications would be particularly beneficial, although not essential. In addition, experience in artificial intelligence, cloud computing, sensor networks and/or data visualisation would also be highly
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ongoing development of communication updates for web, social media and networking Promote equality and value diversity, acting as a role model and fostering an inclusive working culture Support the work
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of training. Excellent organisational skills. Must display clarity of thinking and ability to address a variety of research topics. Ability to communicate complex information clearly. Ability to build
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Scalable Quantum Devices for the Future Quantum Internet. We seek an outstanding experimental physicist to join the Hybrid Quantum Networks Lab (HQNL ) as part of the UK’s Integrated Quantum