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Martin Australia invite applications for a project under this program, exploring the development of Physics Informed Neural Networks (PINNs) for efficient signal modelling in areas such as weather
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PhD Scholarship – Modelling the social and political drivers of net zero transitions Job No.: 670767 Location: Clayton campus Employment Type: Full-time Duration: 3.5-year fixed-term appointment
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, for the CSIRO Next Generation Emerging Technology Graduate Program for Empowering Humans within the Metaverse. The PhD will be of 3.5 years duration, with a tax-free scholarship of $43,333 per annum, with annual
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, design, futures or speculative ethnographic methodologies. The proposal should demonstrate an enthusiasm for theoretical research into digital, emerging technology and net zero futures, with reference
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to simulate sewer networks as dynamic systems, targeting ≥90% modelling accuracy. Train an explainable decision-making agent to optimize interventions (e.g., pipe upgrades), balancing cost, equity, and
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addition to debits, credits can be obtained. The research performed under this internship by an Electrical/Power Engineering or Computer Science PhD student will relate to this reform, specifically investigation
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of offer for the program if all conditions have been satisfied. Locations Primary location of student: Royal Melbourne Institute of Technology, 124 La Trobe Street, Melbourne VIC 3000 Industry
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English language requirements. Completion of a bachelor (honours) degree or master degree by research in: civil engineering geotechnical engineering petroleum engineering mechanical engineering applied mathematics
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an exciting PhD scholarship to tackle one of the most pressing environmental challenges—detecting methane emissions from space using advanced neural network technology. This unique opportunity is part of
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These models are technology platforms that facilitate drug discovery and fundamental research. Our research is funded by Australian Research Council. This project aims to develop bio-microfluidic