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to the Terms and Conditions regarding privacy and collection of personal information. Any applicant that does not submit the required documentation, including documentary evidence, will not be considered
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Status: Open Applications open: 23/06/2025 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information This PhD scholarship supports a
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external enrolment procedures. Selection criteria Demonstrated experience in programming and system development. Expertise in Python programming and data analysis. Experience developing Machine Learning
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Status: Closed Applications open: 1/09/2024 Applications close: 30/09/2024 View printable version [.pdf] About this scholarship Description/Applicant information The MRIWA Odwyn Jones PhD
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Applied mathematics, fluid mechanics, high-performance computer simulations. Full time, fixed term position (3 years) at Hawthorn campus $34,700 per annum (2025 rate) About the Scholarship Higher
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PhD Scholarship in Digital Mapping of Homemade & DIY Cultural Economies in First Nations Communities
for research that benefits Indigenous communities – in a relevant disciplinary area, including Human-Computer Interaction, Media Studies, Digital Cultures, Digital Sociology and Digital Humanities
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(Department of Data Science and AI in the Faculty of Information Technology) and Associate Professor Susan Wei (Department of Econometrics and Business Statistics in the Faculty of Business and Economics
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PhD student(s) will join a vibrant team of postdocs, academics, and up to four PhD students working collaboratively across modelling, qualitative fieldwork, and optimisation techniques. PhD Research
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website to access the Position Description at the bottom of the page. For further information regarding this scholarship and related project, please contact Professor Xiaji Liu | xiajiliu@swin.edu.au Please
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Ltd—a leader in truck trailer manufacturing—will focus on developing AI and Digital Twin technologies to assess welding consistency and quality. The research will contribute to smarter, data-driven