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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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Australian National University | Canberra, Australian Capital Territory | Australia | about 13 hours ago
close to finishing a PhD) in Robotics / Computer Science / related area Proven ability to conduct high quality research, evidenced by peer-reviewed publications in good venues for Robotics/AI/ML area
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, and publish high-impact research. Engage with industry and government, contributing to governance and promoting inclusion and diversity. About you PhD qualification in Computer Science, Data Science
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postgraduate courses offer professionals opportunities to develop their abilities and advance their careers and our PhD program has launched a thousand research careers. About the opportunity The Marine Omics
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well as a postgraduate PhD research program for over 50 students. Over 30 academic staff conduct theoretical and experimental research in quantum physics, astrophysics, fundamental physics, and condensed
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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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Apply now Job no:500999 Work type:Full time Location:Hobart Categories:Research Focused Research Fellow in Fisheries Economics Apply your economic research skills to deliver real impact for regional
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for uncertainty quantification in learned computer vision. The person should have a PhD in Computer Vision or a closely related field, and a demonstrated strong track record in this field. This should include
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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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this position, you will have: PhD degree in relevant field Demonstrated knowledge of structural analysis of alloy components, Finite Element Modelling (FEM) and preferably morphology/topology optimisation