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Foundation. Initially funded for five years, it puts justice at the heart of sustainability transformations: the Centre¿s motivations are to support a just transition to net zero by transforming the processes
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Foundation. Initially funded for five years, it puts justice at the heart of sustainability transformations: the Centre’s motivations are to support a just transition to net zero by transforming the processes
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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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. 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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policymakers to accelerate the transformation of the UK chemical sector towards net to zero. The PDRA will develop and apply digital technologies at the intersection of blockchain, artificial intelligence (AI
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bringing together 10 UK universities, industry partners, and policymakers to accelerate the transformation of the UK chemical sector towards net to zero. The PDRA will develop and apply digital technologies
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Confident and Stonewall Diversity Champions Programme, we welcome applications from people identifying with these characteristics. The University has a number of staff networks which provide peer support and
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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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opportunities to collaborate, take part in network events and undertake research placements within this project. You will have a PhD in Physical Sciences or a closely related field, and you will have a background
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network events and undertake research placements within this project. You will have a PhD in Physical Sciences or a closely related field, and you will have a background in the modelling of molecular