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of tomorrow and creating novel solutions to major global challenges. Our community is made up of 120 nationalities, 14 000 students, 400 professors and close to 5000 faculty and staff working on our dynamic
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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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development. With over 18,000 students and a strong international community, CZU is a dynamic and modern institution committed to excellence in research, innovation, and education. CZU consistently ranks among
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, funds for Parents and Carers, and the potential to join community staff networks. About the role You will join a team of climate scientists and artificial intelligence experts to generate new projections
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or joint research ideas/proposals based on interest, including identifying potential sources of funding and shaping their own professional network for the next steps of their career, presenting at national
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implementation conditions might increase solar mini-grid economic sustainability and communities’ benefits. You will have the opportunity to travel to Sub-Saharan Africa and engage with UK and African academic and
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. We also value our connections beyond the world of scholarship, with strong relationships to our local communities, and to cultural and policy institutions on a national and global scale; impact is
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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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on Muslim life in Europe, in particular on the institutionalisation and organisation of Islamic communities Analysing the interactions between Islamic law and European legal systems, including ethical issues
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research project, Understanding health and well-being among farm women: A life-course approach, which is jointly led by the CRPR and the Farming Community Network (FCN). Through a combination of quantitative