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The closing date for applications is 23.59 on 15th August 2025 Candidates who do not already have permission to work in the UK should note that by reference to the applicable SOC code for this role
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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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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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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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Foundation and the Institute of Philanthropy to establish the Wastewater Surveillance for Pandemic Prevention (WaSPP) network. This network will develop and pilot wastewater surveillance strategies, laboratory
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coding experience (both Python and C/C++), and a record of working in a Linux environment and related scripting languages. What we offer At the university of Oxford your happiness and wellbeing at work is
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architecture and hardware security, significant coding experience (both Python and C/C++), and a record of working in a Linux environment and related scripting languages. What we offer At the university
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to the supervision of graduate students working on the project - Contribute to the preparation of academic publications. - Contribute to code development efforts in the group at large About you The
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near to completion) in a bioinformatics field, preferably related to cancer biology. Ideally you should have expertise in spatial biological approaches. You should have advanced skills in code generation
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Award. The Role We are seeking a highly motivated researcher - either a Grade 7 PhD holder, or a Grade 6 graduate - to join the IMPACTS project, funded by the Northern Net Zero Accelerator. The project