6 algorithms-"Multiple" Fellowship research jobs at The University of Queensland in Australia
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frameworks (MOFs), and related materials using hybrid classical-quantum algorithms. A key component of the role involves using first-principles methods that capture strong electronic correlations, such as DFT
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of classical and hybrid classical-quantum algorithms for treating the correlations. This position offers exciting opportunities for collaboration within UQ, across the QDA network, and with external research
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programming and data analysis. Interest in developing methods, algorithms or software. Evidence of publications in high-quality peer-reviewed journals. Excellent communication skills. Experience
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using programming languages such as Python or R. Communication and Organisational Skills: Excellent problem-solving skills, with the ability to plan, prioritise, and manage multiple tasks efficiently
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individual and community resilience across multiple dimensions. The research will have a particular empirical focus on the implications of the Australian Cyclone Pool and the Queensland Resilient Homes Fund
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on clusters and high-performance computing infrastructure), Information Retrieval methods, Machine Learning algorithms, wrangling large-scale datasets, and showcasing the research results. The ability to work