12 phd-project-management Fellowship positions at University of Adelaide in Australia
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. Working under the general direction of the Quantum and Nano Technology Group (QuaNTeG) Senior Lecturer, the Postdoctoral Research Fellow will work at the forefront of quantum materials research
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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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on meaningful projects with real-world applications and collaborative opportunities with leading research organisations nationally and internationally. The Weed Management Initiative is a national collaborative
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the direction of A/Prof Claudia Szabo in the School of Computer and Mathematical Sciences at the University of Adelaide. The project is a collaboration with Defence Science and Technology Group, within the Combat
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PhD in Economics is a desirable criterion, we will consider candidates currently completing a PhD in Economics or a related field (such as Statistics or Applied Data Science) and who have a strong
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to lead to improved predictive design of biomass crops for the production of sustainable aviation fuel. The postdoc will also co-supervise PhD students and Honours students. To be successful you will need
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PhD students working on related projects within the partnership. Outputs will include: Research publications in high-quality journals and conferences. Innovative AI solutions and prototypes addressing
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Science and Health laboratory to work on a Defence project related to risk-based decision making for skin decontamination in emergency response incidents. Dermal exposure is an important secondary route
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will be part of two closely related Australian Research Council projects (Discovery and Linkage) that are using natural history collections, environmental DNA and ecological models to reconstruct
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Australia with over 200 members including academics, research staff and students. The AIML works on a mixture of fundamental and commercially orientated research projects in computer vision and machine