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Field
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or compromised IoT devices by analysing encrypted traffic patterns, focusing on metadata, flow characteristics, and timing rather than decrypting payloads. The core challenge is creating features and models
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transfer and laser-matter interactions. The “design-manufacture-inspect-model-test” approach of this project will equip the successful PhD candidate with a wide range of valuable and transferable skills
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cognition? You will design and run experiments that combine non-invasive brain stimulation (TMS/tACS), EEG, fMRI, and physiological recordings to test new models of brain-body interaction. We will also
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Behaviour Demonstrable commitment to the values of equality and diversity A positive attitude and ability to act as a role model to students and colleagues Produce clear, well-structured and succinct written
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of cities. Develop the first national land use–transport interaction (LUTI) model for Australia. Evaluate policy scenarios involving HSR to realign population growth with sustainability goals. The selected
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conversion reactions. The second position is focused on modelling stability of electrocatalyst materials. The aim is to develop a framework to predict metastability of catalyst materials. Among the methods
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measures on businesses? Are you keen to delve into the sustainability of agricultural value chains? Or would you prefer to develop our macroeconomic models? All of this is possible. The focus is on projects
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mathematical foundation of machine learning models. You will be responsible for developing scientific machine learning methodologies enabling new approaches for solving machine learning problems including
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(BGI) is one solution to help mitigate surface water flooding, and can also provide a wider range of benefits related to biodiversity, health and water quality. Robust models are needed for comprehensive
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machine learning for next-generation wireless networks, (ii) Foundations of semantic communications and age of information, (iii) Stochastic geometry and spatial modeling of large-scale wireless systems