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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 objective of this project is to explore how Physics-Informed Neural Networks (PINNs) could enhance the detection, classification, and interpretation of weak and noisy signals in complex environments
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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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computer vision and machine learning research group in Australia -- and contribute to world-leading research projects at the CommBank Centre for Foundational AI This postdoctoral research position is part of
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. The successful candidate would work with an international network of researchers from the University of Adelaide, University of Tasmania, University of Melbourne, University of Copenhagen and the Norwegian
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Ecosystem Research Network (TERN) is the national observatory for Australian ecosystems, delivering data streams that enable environmental research and management. TERN’s infrastructure is designed to examine
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combined with verbal and written communication skills and journal/grant writing experience and the ability to work well in a team and independently is key for this great opportunity. The School
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Australia. Led by the University of Queensland, the University of Adelaide is leading the Biomass Characterisation project theme. This role will develop and run analytical pipelines to deliver detailed plant
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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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contribution of 17% superannuation applies. Fixed term, full-time position for 3 years. The School of Chemical Engineering is seeking a highly motivated and skilled Research Fellow (Level A) with a strong