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theory, ergodic theory, differential geometry, data science, and/or machine learning. Implement algorithms that efficiently analyse dynamical systems arising from idealised models or data. Collaborative
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strong out-of-distribution generalization capability [2]. If user-specific information is identified and removable from the input data, the devised techniques can also be applied for privacy-sensitive
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; programming & AI integration; data management; software design and maintenance; algorithms and data structures; and/or cybersecurity, networks, and operating systems. Be publishing in high-quality academic and
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++, Python, and ROS/ROS2 Demonstrated experience with robotic middleware, control algorithms, and system debugging Familiarity with Git, CI/CD workflows, and Linux-based software environments Excellent
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algorithms for resource-efficient hydroponics and evidence-based frameworks for integrating green space exposure for improved student wellbeing. This project will potentially enhance urban food resilience
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algorithms and techniques and design, implement, test, and maintain software/tools embodying those methods. You will prepare and submit grant proposals to external funding bodies. This position will also
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will involve developing deployable prototypes, efficient big data algorithms, and publishing in top-tier venues in databases, machine learning, and data mining. Key responsibilities will include
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-accelerator activities and events. Working between Ballarat Campuses this position is required to work after hours and/or weekends on occasions. You will: contribute to the development and distribution
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stakeholders Excellent communication skills, with the ability to tailor messaging to diverse audiences Experience contributing to policy or service design – particularly in a distributed and matrixed service
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collaboration with stakeholders and distributed teams across the portfolio, with opportunities for professional development and involvement in emerging platforms and initiatives.