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Status: Open Applications open: 15/05/2022 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information Unpinning “the role of microbes in
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discipline, complete an expression of interest (EOI). The steps are: Complete the EOI available at Next Generation Graduates Program (NGGP): Sports Data Science & AI - Centre for Data Science Peruse
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of better prevention and public health policies in rural and remote areas. This position will contribute to the design of qualitative research components, coordinate qualitative data collection from rural
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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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(or equivalent) in a relevant discipline (e.g., information science, sociology, digital humanities, computer science, information systems, media studies). Have strong social research (quantitative/qualitative
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. An additional amount of up to $5,000 is available to support project costs, equipment or research-related travel for site visits, data collection, and/or conference attendance. Eligibility To be eligible
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the requirements listed in the CCA IBD PhD Scholarship Application Information document. To be eligible for the scholarship, the applicant must: • be an Australian citizen or hold permanent Australian resident
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analysis and data processing. Strong programming skills in R (preferable) and/or Python, and experience or interest in weather prediction or climate models. Knowledge of machine learning, AI techniques, and
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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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/Metallurgical Engineering or a related discipline Extensive lab experience is required, especially with high temperature metallurgical experiments Knowledge of iron and steelmaking is desirable Strong data