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preferred but not required - candidate can learn on the job; Eager to learn new technologies and try new ideas in a structured way; Willingness to work in the industry in the future as a digital AI
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A domestic scholarship to recruit a new cohort of domestic students in our HDR program in COBL. A domestic scholarship to recruit a new cohort of domestic students in our HDR program in COBL. 3.5 years 3.5 years Applications are now open. Applications are now open. 17/3/2024 17/3/2024 One (1)...
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of passenger safety in motor vehicles, transport, industrial and mining applications. This is an opportunity to directly contribute to saving lives and reducing injury levels. Enjoy free education plus annual
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The PhD candidate will gain intensive knowledge in innovative processing protocols for chemical sensing and to develop data acquisition system with the Machine Learning (ML) and/or Deep Learning (DL
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condensed matter physics, physical chemistry or biology Possess a strong interest in biological problems using physical and chemical theory and computer-based techniques Meet RMIT’s entry requirements
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School of Science (Physics Discipline), provides an opportunity for a talented student to undertake their Ph.D. on a computer-based molecular biophysics project of medical significance, funded by
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an exceptionally high aptitude for advanced physics Candidates must have a first-class Honours degree or a Masters degree in an area of physics related to quantum technology. A Masters Degree is preferred A letter
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simple and efficient reactor systems will make available their greater added value with lower energy and capital expenditure demands both to the Australian recycling industry but also to the wider process
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the industry partner A structured professional development and training package The CSIRO Industry PhD Program (iPhD) is a research training program, focusing on applied research that benefits industry by
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computer vision and machine learning methods to interpret the photovoltaic (PV) solar farm's condition and perform various inspections and anomaly detection. The research will draw from state-of-art