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jointly funded by Marie Curie and the Alzheimer’s Society. This mixed-methods research project will examine patterns in primary and community-based health and care service use among people with dementia
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About the role We are seeking a highly organised, motivated, enthusiastic person to join the DECIDE-TAD team to develop methods that promote the inclusion of underserved groups in a multi-centre
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sustainability at the heart of technology development and how to translate theoretical insights about historical injustices and discrimination into new technology design methods and education tools. The Research
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sustainability at the heart of technology development and how to translate theoretical insights about historical injustices and discrimination into new technology design methods and education tools. The Research
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publications and presentations as required • To contribute and support research funding bids as required • To analyse and communicate complex ideas, concepts and data using appropriate methods and packages
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, environmental data science, or a closely related STEM discipline Demonstrated expertise in urban spatial data analytics, with proficiency in GIS software (e.g. QGIS, ArcGIS) and geospatial methods Experience in
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or depth of knowledge in the discipline and of research methods and techniques to provide research assistance to the project. Please see the Job Description for further details on these posts. The University
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postgraduate qualification in health or social sciences or similar e.g. MSc or PhD Experience in methods of inclusive co-production Experience of coordinating a network for research or public engagement
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Studies, defined as a course focusing primarily on the study of Japan, and containing a substantial Japanese language component. Applicants who hold (or are completing) combined honours courses where
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, mental health, research methods or other relevant subject area. Knowledge and Skills Essential C1. Theoretical and practical knowledge of child and adolescent mental health. C2. Skills in qualitative data