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Field
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learning, algorithms, and programming. Prior exposure to reinforcement learning or human-robot interaction is highly desirable, though motivated candidates with a strong grounding in AI/ML and willingness
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Species’ distributions are shifting in response to global climate change and other human pressures. Accurate methods to monitor and predict distribution shifts are urgently needed to manage
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formative assessment and personalised feedback while ensuring fairness, accountability, and transparency. The research will explore a combination of algorithmic design, human–AI interaction, and empirical
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. Working closely with project teams, architecture functions, and geographically and technically distributed teams, the M365 Technical Lead will help shape and grow organisational capabilities within
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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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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