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analysis of spatial datasets and the development of digital environmental systems with spatial component Experience of working with non-academic stakeholders Experience working in interdisciplinary research
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methods Leading the analysis of policy and policy processes relevant to water Supporting or leading the innovation/policy challenge ‘labs’ and capacity building programme Regular communication with research
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completion in face perception or related discipline Evidence of competency in data analysis of large datasets in R (R studio) Research & Skills Excellent knowledge of face perception literature including
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