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the following: digital twins, cyberphysical systems, human-centred AI causal modelling, uncertainty quantification, explainable AI, or trustworthy AI agentic AI, multiagent systems, sequential decision
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density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data, including with the use of machine learning use this knowledge to design
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productivity, including peer-reviewed publications and the ability to contribute to high-quality experimental and clinical research programs Experience working with models of care of physiotherapists as first
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programs—ranging from national infrastructure to major technological rollouts. The project focuses on developing intelligent decision architectures, predictive analytics, and adaptive computational models
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, with the ability to model, simulate, and optimise complex manufacturing processes industrial automation engineering, including designing, integrating, and improving automated systems for scalable
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sedimentology, paleoecology, paleoclimatology, numerical modelling, relational database design, and geological data science a strong track record of publications in leading international scientific journals (Q1