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work collaboratively with the energy sector, enabling you to establish an industry presence and develop leadership networks. Applications for the Zema Energy-related doctoral projects include but are not
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-reality application development; modern AI techniques (such as computer vision or large multimodal language models); and/or human-computer interaction. Our industry partners are developing software
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will design quantum-safe threshold encryption and/or authentication algorithms. The expected outcome is the design of methods, techniques and their software prototype to implement quantum-safe threshold
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systems for studying the response of mechano-sensitive cells inside blood vessel under customised physiological and pathological conditions. The microfluidic system consists of a network of semi-circular
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see the world with once-in-a-lifetime experiences, including a 6 to 12 months residential stay in Australia form part of a rich multidisciplinary network of researchers and supervisors coming together
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: Programming: Proficiency in languages such as Python, Java, C++, and scripting languages. Network Security: Understanding of network protocols, firewall configurations, intrusion detection systems, and network
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ResearchNathan, QLD Dental AssistantFull-timeGriffith HealthSouthport, QLD PhD Scholarship: Ensemble data-driven spatio-temporal sewer pipe network asset condition assessment systemFull-timeDVC ResearchSouthport
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Development of a bubble reactor for hydrogen production via methane pyrolysis in molten medium Project description Turquoise hydrogen is produced from natural gas pyrolysis in molten metals or salts at high temperature, co-producing black carbons for carbon storage or other uses. Utilising...
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PhD Scholarship Opportunity – Software Engineering for Social Good Job No.: 677910 Location: Clayton campus Employment Type: Full-time Duration: 3.5-year fixed-term appointment The Opportunity
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via RMIT University application portal. Apply via RMIT University application portal. Potential candidates must have a good hold of distributed software systems, machine learning and cybersecurity