395 web-programmer-developer-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Monash University in Australia
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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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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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. What You’ll Do: Manage all administrative functions for the IP and patent portfolio. Maintain and develop robust record-keeping and reminder systems. Coordinate patent payments and provide status updates
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Sustainable Development Goals and PRME principles, we deliver high-impact, inclusive research and education across leadership, organisational behaviour, HRM, operations, strategy, and more. Our collegial
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Australian Laureate Fellowship research project Temporal Analytics for a Complex, Dynamic and Ever‑Changing World. You will be responsible for developing new temporal analysis methods, implementing software
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development through the Monash Education Academy. You will lead and inspire teams dedicated to advancing learning and teaching practice, ensuring robust quality assurance processes are effectively leveraged
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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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and reporting facilities issues, and ensuring that spaces are safe for everyone and well-maintained. You will work with other Library staff to plan and facilitate events that support student inclusion
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This project will develop general cutting edge generative AI and natural language processing methods to advance AI-augmented human-in-the-loop coaching and associated training planning and outcome
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the development of Explainable AI Systems that can provide explanations of AI agent decisions to human users. Past work on plan explanations primarily focused on explaining the correctness and validity of plans. In