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PhD Scholarship in Social Sciences (Geography) Job No.: 665666 Location: Clayton campus Employment Type: Full-time Duration: 3.5 year fixed-term appointment Remuneration: The successful applicant
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on disadvantaged ones. You will work with top researchers in data science (UTS) and social sciences (WSU and ANU) to develop statistical machine learning solutions for social good. This 3.5-year PhD project focuses
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with qualitative research methods in social science as well as some quantitative methods in data collection and analysis. Experience in conducting research among culturally and linguistically diversified
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2025. You should have a background and strong interest in environmental management, biodiversity conservation, and/or sustainability. Experience in the social sciences and/or economics would also be
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, the candidate will benefit from expert supervision from research leaders in environmental social science. Finally, the candidate will benefit from being part of outcomes from the research, which may include co
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from social media platforms. You must submit a formal expression of interest (EOI) application via QUT's online application portal by: international applicants: 31 July 2024 domestic applicants: 31
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for part-time and/or external study is obtained) have a science/engineering background, preferably in chemical engineering. Desired research experience will be highly valued, including publications in
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Topic examples include: a. Design methods for commercial application of science b. End to end user experience, for Social/ cultural acceptance for diffusion of innovation purposes c. Industry
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, mixed reality, wearables etc. Disability, Technology, and Society: Research with a sociological or anthropological focus on the use of bespoke and/or mainstream technology for disability inclusion and/ or
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social science disciple (e.g., psychology, marketing, sociology). Please see the Entry Requirements for Research Degrees Swinburne. Demonstrated knowledge of quantitative and/or qualitative research