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the opportunity for the PhD student to lead the development of innovative simulation tools that predict Litz wire behaviour across electrical, thermal, and mechanical domains. Supported by the MTC’s advanced wire
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, a state-of-the-art process-based model for groundwater risk assessment and contaminant transport modeling. By improving predictive modeling of transient contaminant source terms, this research will
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future propulsion systems. There is also opportunity for successful candidate to collaborate with experimental teams for materials synthesis, characterisation and validation of computational predictions
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future propulsion systems. There is also opportunity for successful candidate to collaborate with experimental teams for materials synthesis, characterisation and validation of computational predictions
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. The development of a physically-based model of energetic material will overcome the current limitations and provide predictive capabilities that are crucial for the understanding of the behaviour of novel
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, to enable a transition from responsive maintenance interventions/renewals, to predictive, proactive, and targeted ones that help to avoid failures. By integrating numerical simulations, probabilistic
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aircraft icing conditions. This data can then be utilised for improving design of ice detection and mitigation systems and for refining icing prediction codes. Unique opportunities for conference attendance
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effective flow control strategies Develop ML models to predict complex flows in porous media configurations Design optimised porous media geometries for enhanced mixing efficiency. Training opportunities
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: Biomechanics: Using a wheelchair ergometer or SMARTwheel to measure applied forces, velocity, and power. Joint and muscle load will be predicted using 3D kinematics and force data. Wearable devices (Apple
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state beyond a certain speed. Although predictions of sub-synchronous vibrations with current codes have shown good correlation with experiments under controlled lab conditions, this was only up to a