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and social data with the aim to better understand energy use. The programme is an interdisciplinary collaboration between the School of Geography and the Environment (Oxford), the Department
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for chronic fuel cell monitoring in vivo including common electrochemical characterization methods. • Design and manufacture an micromachined interface between the fuel cell and the implantable
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science, with applications to public and veterinary health, therapeutic development, and pandemic preparedness. You will contribute to method development, data analysis, and collaborative projects, and will
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group working under a European Research Council Advanced Grant titled Choosing Islamic Conservatism. The project is using a combination of qualitative and quantitative methods to study intergenerational
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the UKRI through the Frontier Guarantee Programme to Dr Jani R Bolla. The work is to be conducted in his lab in the Department Biology, University of Oxford, South Parks Road, Oxford, OX1 3RB
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part of a wider programme of work to establish that membraneless organelles, biological liquid droplets, are effectively regions of organic solvent, suspended inside cells and that the properties of each
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methods to study intergenerational transmission of Islamic knowledge among Muslim communities in the West. The post-holder will be part of the team undertaking quantitative data analysis. The role requires
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a member of a research group working under a European Research Council Advanced Grant titled Choosing Islamic Conservatism. The project employs a combination of qualitative and quantitative methods
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developing characterisations of network models and interactions with methods in statistical machine learning. The post holder provides guidance to junior members of the research group including project
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the tree of life. The main responsibilities will be to identify ancient gene families that encode membrane proteins and then use a range of phylogenomic methods to understand their ancestry. These analyses