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methods for provable network security. The School of Computer and Mathematical Sciences is recruiting a research fellow to work on next generation network security technologies. Join a world-class research
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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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working with industry partners to translate this new technology into commercial sensors for vineyard installation. Further opportunities involve integrating the research data into the National Smoke
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or condensed matter physics, with a willingness to engage in experimental applications. The successful applicant will also be involved in the design, fabrication and measurement of quantum sensors in the Jesper
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). Proficiency in numerical modelling, data analysis and instrument control in languages such as Matlab, Python, C/C++, etc. Familiarity with sensor technologies and applications, machine learning, and electronics
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develop innovative software that supports world-class agricultural research? Join the Australian Plant Phenomics Network (APPN) and make a real difference in sustainable agriculture across Australia. Help
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sector. Opportunity to strengthen the professional network within the sustainability, AI, and building sectors. Eligibility: The PhD student must be: within the first 18 months of their candidature
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responsible for the delivery of high-calibre farming systems research, based on a network of already established field trials to evaluate how crop rotation/sequence, time of sowing and nitrogen management
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decision-making. You will play a key role in both supporting and leading the delivery of farming systems research, based on a network of already established field trials to evaluate how crop rotation
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on mobile ad hoc networks (MANETs). This role involves developing and extending open-source simulation tools, such as CORE (Common Open Research Emulator) and EMANE (Extendable Mobile Ad-hoc Network Emulator