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About the Scholarship Google PhD Fellowships support promising PhD candidates who seek to influence the future of technology and those doing exceptional and innovative research in areas relevant
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This PhD scholarship is funded by an Australian Research Council Industry Fellowship grant. It is a 3.5-year research training program. The ARC Industry Fellowship program aims to develop a strong
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. The candidate will have a PhD in Computer Science or Machine Learning (or be able to demonstrate equivalent research experience) and possess a deep and demonstrable knowledge of these fields. They must be a
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fundamental research. The students willing to learn about IP management, create patents of their works, and translate research from lab-to-industry are encouraged to apply. At the end of the PhD, the student
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The scholarship is associated with developing a Digital Twin-Driven model in mass production for Ford Motor Company. The scholarship is associated with developing a Digital Twin-Driven model in mass production for Ford Motor Company. 3 Years 3 Years One (1). One (1). Australian Permanent...
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capabilities We invite applications for a fully funded PhD position focused on developing supramolecular cages and metal-organic frameworks (MOFs) as next-generation materials for the removal of per- and
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the instructions for applicants on the ACSPRI Fellowship Program website. About the scholarship PhD candidates at ACSPRI Member Institutions are invited to apply for the 2024-25 ACSPRI Fellowship Program. Valued
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and our PhD program has launched a thousand research careers. About the opportunity The Postdoctoral Research Fellow will support the research and engagement activities of the Australian Research
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process. About You Level A Completion or near completion of a PhD in in any of quantum technology, quantum physics, quantum optics, quantum photonics. An emerging profile in research in the discipline area
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Australian National University | Canberra, Australian Capital Territory | Australia | about 17 hours ago
trace element analyses. To be considered, applicants must have completed a PhD in geochemistry, with direct evidence of analytical expertise. Successful applicants will have experience in utilising SEM