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nitrogen to create multifunctional building blocks, paving the way for efficient and scalable synthesis of these innovative architectures. This breakthrough could transform pharmaceuticals and agrochemicals
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events, and PhD supervision within university research centres, including Quantitative Research in Financial Economics which maintains strong links with industry, policy and national and international
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. Thermoplastic composites, combined with novel material architectures, are central to this transition, enabling recyclable, lightweight structures. Research now targets energy-efficient, automated processes and
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on strategic and international projects, and to play a key role in shaping the emerging field of quantum communications and neuromorphic computing. • Opportunity to supervise PhD students and interns. • Various
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Job Description Do you want to do research on cutting-edge machine learning methods? If you are building a career as a researcher in machine learning and are passionate about working with cutting
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engineering. We aim to unravel the logic of genome organisation and metabolic control—with the bold vision of building synthetic life. In this role, you will develop and apply computational methods to analyse
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join a welcoming, inclusive, and supportive team where diverse perspectives are valued and collaboration is at the heart of our success. Requirements You are holding a PhD degree in physics or comparable
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analysis reports. Research publications in high-quality journals and conferences. This exciting role will contribute to the Centre for Augmented Reasoning’s objective to build world-class research and
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largest green building (at 19 stories) and winner of the 2023 World Architecture Competition’s Education Category for its interior design. Successful candidates should have: - A PhD in computational
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Reasoning’s objective to build world-class research and engineering capability in machine learning while demonstrating the potential and impact of this knowledge for industries in Australia. To be successful