143 assistant-professor-computer-science-data PhD positions at RMIT University in Australia
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detailing any publications, awards, and the contact information for two referees. Interested candidates should email the following documents to Professor Tamar Greaves at tamar.greaves@rmit.edu.au , Dr
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This scholarship is jointly funded by a leading computer vision company in Australia and the STEM College of RMIT University. The research includes investigation into automated product quality
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computing technologies; be an Australian citizen, Australian permanent resident or an international student meeting the minimum English language requirements; provide evidence of adequate oral and written
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The Opportunity The CSIRO Industry PhD Program (iPhD) is a four-year research training program, focusing on applied research that benefits industry by solving real-world challenges. It aims
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These will help women be diagnosed earlier and get onto the correct treatment earlier as well, resulting in increased survival. These will help women be diagnosed earlier and get onto the correct
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under 'Admissions' in PhD (Mathematical Science). Have a Master, first-class Honours or equivalent in one of the disciplines of statistics, mathematics, or data analytics/science. Excellent programming
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requirements for admission to a Doctor of Philosophy (PhD) program are: A bachelor's degree requiring at least four (4) years of full-time study in a relevant discipline awarded with honours. The degree should
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to an RMIT full Scholarship This Scholarship will be available for 3.5 years. Applicants need to have a background in immunology or cancer biology, preferably cancer immunology and most preferably ovarian
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; or an Honours degree achieving first-class Honours in engineering or science, or another suitable field. To apply, please submit the following documents to Associate Professor Raj Das via raj.das@rmit.edu.au A
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The ARC funded project will create multifunctional fabric designs & engineering techniques integrating improved heat and flame protection, comfort and smart features into multilayered personal