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Experience in management of a team of finance professionals in delivering high quality level of service Excellent analytical, numerical, research and problem-solving skills to achieve desired outcomes
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climate economy in Australia (Dr Svenja Keele ) Communicating Data to Advance Community and Ecological Wellbeing (Prof. Libby Lester ) Making Futures Together: Designing and Testing Creative Methods
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in diverse, real-world environments. Both classical machine learning methods and deep learning techniques can be employed to tackle this task. This project aims to achieve several objectives: 1
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Project Description Recent advances in mixed reality (MR) technology, which seamlessly blend the physical environment with computer-generated content around the user, have reduced the barriers
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software frameworks, algorithms, robust testing and validation methods, and/or empirically validated solutions that contribute directly to social good, promoting trust, fairness, transparency, and
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tissues or reveal micro- or nano-structural features, like the small air sacs in lungs. To overcome these limitations, alternative X-ray imaging methods have been developed: X-ray phase-contrast and dark
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Dowe, 1999a) ensures that - at least in principle, given enough search time - MML can infer any underlying computable model in a data-set. A consequence of this is that we can (e.g.) put latent factor
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interdisciplinary collaboration. You will have experience in qualitative and/or quantitative research methods, and be familiar with international policy frameworks such as the Buildings Breakthrough Agenda. As a
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senior academics, you will: Undertake data collection, management, and analysis using both quantitative and qualitative methods. Support systematic reviews, including literature searches, eligibility
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aims to explore who takes physics and astrophysics major units, why they pursue them, and what obstacles they may face. There are a number of research questions under this umbrella. Computational