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School of Mathematics and Statistics is seeking to recruit a post-doctoral researcher with experience in statistical modelling, Bayesian methods and related computational skills. This is a temporary, 21
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methods approach. Experience in designing and analysing both qualitative and quantitative research studies is essential. Experience engaging in collaborative research with stakeholder groups including
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. The project is fundamentally about how law relates to and shapes human behaviour. To do so, reKINdle develops a socio-legal comparative law method to map and analyse legal regulation of the parent/child link
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, reKINdle develops a socio-legal comparative law method to map and analyse legal regulation of the parent/child link in 5 case study countries (provisionally Ireland, England, Poland, France and Sweden
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Studies, Education, Social Policy, or a closely related field. Strong research background in systems thinking, inclusive design, participatory research methods, and/or critical pedagogy. Experience
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to analyse and interpret complex data using appropriate frameworks. Strong qualitative/mixed methods research skills with extensive experience of stakeholder engagement. Excellent organisational and project