21 distributed-systems-networks-phd-"Multiple" Fellowship positions at University of Adelaide
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an employer contribution of 17% superannuation. 30 Months Fixed term Full time position. The University of Adelaide is seeking a research fellow to support the ongoing research activities in the area of
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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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to the principles of equity, diversity and inclusion. Desirable characteristics: Experience of handling large sets of samples from multiple collaborators. Experience with HPAEC-PAD, mass spectrometry and HPLC systems
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with hands-on implementation and testing, working closely with both academia and industry through partnerships such as the Silanna Group, the BECA Group and REQUIEM Systems. As part of the dynamic and
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contribution of 17% superannuation applies. Fulltime, fixed term research position, available for 12 months. Research Fellow Opportunity in Protein Biochemistry. This is an exciting opportunity for a completed
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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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under farming systems including herbicide resistance and changes in emergence patterns. This role is ideal for a candidate with a PhD in Weed Science, Plant Genetics, or a related discipline, who is