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presents an exceptional opportunity for a suitably qualified and motivated individual to engage in applied research at the intersection of artificial intelligence , process monitoring , machine learning
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an innovative and environmentally sustainable process of copper extraction from concentrates leaching using different glycine leaching systems. The expected outcomes from this project are not limited
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implementation of the heuristic methods would be the hallmark of this study. Aims The proposed study aims to offer a paradigm shift in underground mine planning process through an integrated model that solves
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deep learning, imaging and data analysis would be helpful for this project. Must be eligible to enrol in PhD programs at Curtin University. Application process Please send your CV, academic transcripts
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trait comprised of a set of emotion processing deficits: difficulties identifying one's own feelings, difficulties describing feelings, and an externally oriented thinking style whereby one rarely focuses
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the ARC Research Hub for Value-Added Processing of Underutilised Carbon Waste, which is established in 2024 with the aim for developing advance upcycling technologies and associated regulatory and social
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models for structural health monitoring of civil engineering structures. Digital twin models are used to interpret real time information from videos and images aided by computer vision techniques
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requires a new philosophy of Circular Hydrometallurgical Processing and to be able to sustainably recover metals from secondary resources (process/mining wastes and process intermediates). Reclaiming
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TOFMS, TOF-SIMS, imaging techniques) and a good understanding of plant/ microbial processes and early life. In addition, you will have an excellent record of publication in the field of organic
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TOFMS, TOF-SIMS, imaging techniques) and a good understanding of plant/ microbial processes and early life. In addition, you will have an excellent record of publication in the field of organic