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the development of a ubiquitous and adaptive multi-component trust framework reflecting trust perspectives. The developed solutions will allow the establishment of trusted interactions among crowdsourced IoT
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data requirements, and lower costs for large-scale modelling tasks. PINNs enhance predictive capabilities and efficiency by combining data-driven methods with physical principles. Unlike traditional
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of herbicide resistance transfer in weeds. The student will work in a vibrant, multi-disciplinary team and develop skills in biochemistry, molecular biology and plant science. The findings from
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EVs, underscoring a critical need for reimagined roadside safety solutions. This PhD scholarship is part of a larger, multi-stream research project in collaboration with KSI Global Australia
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scales), chemistry, engineering physics, nanotechnology. Experience or strong interest in modelling, and/or clean energy. Preferable background and/or previous experience or publications in materials
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by information theory. The expected outcomes are new connections between fundamental limitations on measurements, the nature of gravitation, and ultra-small-scale quantum physics. The benefit of
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misuse, drives the development of multi-drug resistance, becoming a rapidly growing global health problem. The World Health Organization (WHO) launched the GLobal Antimicrobial resistance Surveillance
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are developing new composites to address the Waste Heat problem. Waste Heat is a huge challenge in the global energy transition. We are developing new materials and system to enhance the conversion of heat to
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of a multi-disciplinary research team Meet RMIT’s entry requirements for the Doctor of Philosophy. Candidates with backgrounds in biomedical science are encouraged to apply. To be eligible
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the hydrodynamic loads generated by large-scale wave energy devices. This project is a collaborative effort, with joint supervision from Dr. Nataliia Sergiienko at the University of Adelaide and colleagues