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depending on funding. The Oxford Ion Trap Quantum Computing group currently hosts one of the world’s highest performance networked quantum computing demonstrators, capable of remote Bell-pair production
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solutions to the inclusion and net zero challenges facing twenty first century urban mobility. The ideal candidate will have: Demonstration of at least one of the following PhD in a relevant field (e.g
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research methods (for eg. ethnography, discourse analysis, oral history, or network analysis) One publication demonstrating Digital Humanities methods Willingness to be part of a collaborative research team
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spatial network metrics. Strong quantitative skills, with experience in clustering analysis, data visualization, and statistical modelling. A research background in health-related topics. Demonstrated
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databases, data representation) Familiarity with at least one Indian language Experience in qualitative research methods (for eg. ethnography, discourse analysis, oral history, or network analysis) One
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part of a diverse, inclusive and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing . Further Information The position is available
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databases, data representation) Familiarity with at least one Indian language Experience in qualitative research methods (for eg. ethnography, discourse analysis, oral history, or network analysis) One
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explore more inclusive, engaging, and effective ways of communicating risk. The project is a collaboration between RCA, UCL’s Warning Research Centre, GNDR (Global Network of Civil Society Organisations
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networks. This position is part of a UK-Canada Quantum for Science collaborative project "Quantum network applications in theory and practice" funded by STFC/EPSRC (UK) and NSERC (Canada), led by Professor
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aims to optimize the operations (serving) of AI by developing algorithms that manage compute, network, and storage resources in a carbon-efficient way while supporting long-term benefits