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on optimisation techniques and differential equation discretisation schemes will be developed for solving the developed mathematical models. Computer codes in Python/Matlab/R implementing these models and numerical
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astronomy. CIRA’s activities draw together academic research and professional staff from a variety of science, engineering, and computing disciplines to tackle unique and demanding challenges in radio
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the development of new algorithms for processing, analysis and inversion of active and passive seismic data and the application of these algorithms to field data. Student type Future Students Faculties and centres
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policy. A research program will demonstrate the consequences of these assumption on employee, manager, and organisational outcomes through surveys of organisational leaders, and use simulations and
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and it involves a large number of computational operations. A network simplification approach will be designed to slim network sizes to suit real time implementations. Robust underwater acoustic
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implement machine learning algorithms for complex data analysis. Utilise advanced programming skills (Python, MATLAB, C) and image processing libraries to develop computational solutions. Publish research
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and polyploid crop species and benchmark them against other methods such as graph-based methods. This project will combine algorithm development and computational programming with large population
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research on designing mobile energy hubs, energy systems integration, resilience analysis, and developing digital twin models and AI-enabled algorithms. You will conduct lab and field tests, analyse data
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the different actors' beliefs and intentions. We will study the properties of such explanations, present algorithms for automatically computing them as well as extensions to existing frameworks and evaluate
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quantum engineering, quantum computing, and/or quantum information sciences A deep understanding of quantum algorithms and/or experience with quantum hardware will also be beneficial. A passion for