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totalling approximately $47,000 per annum tax exempt (2025 rate). A four year Project Expense and Development package of $13,000 per annum. A 60 day Industry Engagement component with the industry partner. A
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year scholarship package totalling approximately $47,000 per annum tax exempt (2025 rate) A four year Project Expense and Development package of $13,000 per annum A 60 day Industry Engagement component
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candidates must possess an Honours degree with a First Class [1A] designation, or a master’s degree with a substantial research / thesis component. Evidence of journal publications would be highly desirable
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Holistic Economic Modelling for Disaster Resilience Decision-making (CSIRO Industry Phd Scholarship)
Class Honours and/or a master degree with a thesis component. Strong problem-solving, critical thinking, and written and verbal communication skills. Desirable skills required Familiarity with cost
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courses, research experience) would be an advantage IELTS score of 6.5 overall, with no less than 6.0 in each component How to apply For general instructions on how to apply for roles at Monash, please
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Training Program (RTP) Fee-Offset a four-year project expense and development package of $13,000 per annum a three-month industry engagement component with Gelomics a structured professional development and
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-ray speckle-based imaging, a simple and flexible technique using just a piece of sandpaper as an optical element to access the phase-contrast and dark-field image modalities. Using this method, I
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the percentage the candidate has contributed to a publication Work experience in a field relevant to the research Other degrees with a strong research component You have applied for admission, have been admitted
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You will explore high through put experimentation through robots, nature of metal corrosion inhibitor interactions at a fundamental level and will work with 3 world class teams to integrate systems
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You will explore the nature of metal corrosion inhibitor interactions through advanced molecular modelling and integrate this understanding into the formulation of evolutionary algorithms