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will have sound knowledge of the tertiary education regulatory environment, curriculum frameworks and curriculum management systems, with experience developing and implementing curriculum-related
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Agentic AI. We are looking for candidates whose research focus is on the development of intelligent agent frameworks incorporating planning, memory, tool use, safety and evaluation methodologies, and neuro
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of Physics and Astronomy. This position offers an exceptional opportunity to conduct high quality research in the development and application of new transmission electron microscopy methods (STEM and/or TEM
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agreed conditions, you will then progress to the PhD, which involves high quality research training and career development, culminating in a written thesis. The PhD stage will typically take three and a
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of developing scalable solutions for privacy-preserving machine learning. This is done by both making the ML techniques more crypto-friendly as well as making the crypto building blocks more ML-friendly, so that
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excellence across the discipline. With a focus on developing specialised expertise in digital technology regulation, taxation law, and international trade law, these roles will also strengthen the Department’s
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in supporting Australia’s transition to green ironmaking by developing a quantitative framework that connects impurity content, process parameters and microstructural evolution to scalable, low
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transport simulation with MATSim experience, including scenario development, calibration and validation • Experience applying travel demand modelling to evaluate policy and mobility scenarios • Strong
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load planning objectives. Further, you will collaborate with eSolutions and key stakeholders to define, source, and develop data requirements, ensuring the transition to effective technical platforms and
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reviewing and uplifting current processes, programs, and services. You’ll take responsibility for identifying and mitigating organisational change risks, developing strategies that ensure smooth transitions