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• Strong quantitative and programming skills; experience with seismic data analysis or numerical modelling is highly desirable• Excellent written and verbal communication skills• Ability to work
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personal experience, but typically a 2XE internship is centred on advancing data analysis and developing tools for deploying transformative technologies within the renewable and smart energy sectors
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Grant and offers excellent training in experimental techniques, data analysis, and translational research. The successful candidate will gain in-depth expertise in both cardiovascular and neurological
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package of $47,000 per annum stipend (2025 rate) a four-year Project Expense and Development package of approximately $13,000 per annum a 60-day Industry Engagement component provided by the industry
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eligible applicants must: • have completed an Honours Degree with First Class or 2A Honours, or equivalent level, or a Master's degree with a significant research component; • have applied, or currently
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to understand the properties of electromagnetically driven flows in thin deformable electrically conducting liquid films and layers by means of their nonlinear stability analysis and numerical simulation. It
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PhD Scholarship in Digital Mapping of Homemade & DIY Cultural Economies in First Nations Communities
, the selection committee will prioritise First Nations applicants who hold an Australian (or equivalent international) Honours or Master’s degree (both in a relevant field), with a significant research component
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financial barriers to achieving theoretically optimal city sizes using qualitative methods, including stakeholder interviews and policy analysis. Integrating Theory into Dynamic Models Embed the sustainable
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research component from a recognised institution and in a cognate discipline. Have a strong interest in undertaking a three-year research project focused on Australian media use, which requires well
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and confident really helps. Some experience or familiarity with CNC machines, surface engineering or automated manufacturing systems. An interest in machine learning or data analysis, especially