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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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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
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the website below: www.monash.edu/science/schools/chemistry/current-students/exchange-programs#content_container_3019675 Note: you will be asked to select up to 3 projects in preference order. Enquiries
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(IPRC) and the disciplines of the School of Humanities, Arts and Social Sciences (HASS), at Murdoch University. The successful candidate is expected to return to Bhutan at the completion of their PhD
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. The applicant will be based at the Clayton campus in Melbourne. Social Science at Monash is diverse and vibrant, including research expertise in public policy, politics and sociology. We have a strong and
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, interest, and/or experience working in fields related to climate change adaptation, planned relocation and climate justice proficiency in qualitative and/or quantitative social science research methods
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at the intersection of communities, technology and social innovation. We have a strong and supportive research culture, led by internationally recognised scholars successful in attracting national and international
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researchers across disciplines alignment with the research areas: conservation of biodiversity, sustainability science, climate change mitigation and adaptation, environmental social science, network science
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Doctor of Philosophy (PhD) Domestic Scholarship Opportunities at Faculty of Engineering Job No.: 663536 Location: Clayton campus Employment Type: Full-time Duration: 3.5-year fixed-term appointment
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experience, subject to negotiation with supervisors. However, in order to align with the overall project, topics that focus on areas such as the following are particularly welcome: Music making in regional