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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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Network (APPN), a national research infrastructure initiative established through the Commonwealth’s National Collaborative Research Infrastructure Strategy (NCRIS). APPN delivers cutting-edge imaging and
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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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/ Software Engineering, computer science, physics or a related field) A strong interest in practical hardware development, testing and optimisation Demonstrated experience in the use of electronics for sensor
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contract| Full time The Australian Plant Phenomics Network (APPN) was established in 2009 under the Australian Government’s National Collaborative Research Infrastructure Strategy (NCRIS) to develop a
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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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AI/ML for Object Tracking and Sensor Fusion, you will develop next-generation algorithms that power intelligent aerial systems—enabling real-time object tracking, multi-sensor data fusion, and
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Australia (PSBA) network as we launch the Adelaide node, establishing plant synthetic biology services across agricultural crops and model plant systems. If you are an experienced Business Development Manager