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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
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learning architectures including generative models, particularly for sequence or structural data (e.g. transformers, graph neural networks) Proved experience in working independently and as part of a
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Experience in acquiring third-party funding for interdisciplinary and application-orientated research projects Willingness to engage in international networking and interaction with research institutions and
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flexible working, Enhanced Parental Leave, 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
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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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collaboration between RCA, UCL’s Warning Research Centre, GNDR (Global Network of Civil Society Organisations for Disaster Reduction), UAL’s CRiSAP (Creative Research into Sound Arts Practice), and other partners
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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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-established data resources accessed within a secure Trusted Research Environment for large-scale analysis. This role offers excellent opportunities to engage with a broad network of collaborators including
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multidisciplinary and multicultural team. Proven ability of working with projects partners to reach their objectives timely. Excellent networking ability and organizational skills. Proven and distinct work
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Nurses Network. Working closely with Dr Marion Waite and her team, you will support the recruitment of participants, as well as multi-site and multi-method data collection in person at specific NHS sites