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validation techniques to resolve intricate inconsistencies and establish robust standards for dataset reliability. Configure and optimize the costing and profitability model with precise, structured data
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maintenance of the University’s People and Culture (P&C) information systems, ensuring seamless integration, data integrity, and optimal performance. This role involves managing P&C systems, including Oracle
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the optimal habitat reconstruction for declining bird species, how to best engage community and landholders in the recovery effort, and priority species-specific objectives for guiding restoration actions and
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automated recovery algorithms, improving system resilience. Research Areas for Master’s and PhD Students AI-Enhanced Resource Forecasting and Optimization: Research Focus: Developing and testing ML algorithms
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to simulate sewer networks as dynamic systems, targeting ≥90% modelling accuracy. Train an explainable decision-making agent to optimize interventions (e.g., pipe upgrades), balancing cost, equity, and
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Optimizing a 3D microfluidic IVD model to study cell responses to wear particles, refining culture conditions, and analysing cytotoxic and inflammatory mechanisms. Optimizing a 3D microfluidic IVD
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of this project is to explore the fundamental science around optimizing novel solid materials for CO2 capture with a particular focus on flue gas streams and the effect of other components in the stream such as NOx
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the team for optimal performance while driving a culture of excellence and process refinement. To be successful, you’ll have: Postgraduate qualifications and extensive relevant experience; or Extensive
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methods. Finally, the enormous number of decision variables (unknowns) with the proposed framework would lead to the computational complexity; and consequently, the derivation of exact optimal solution
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into neural networks. PINNs can model real-world signals with sparse, non-uniform, and noisy data. A key question is determining the optimal method for integrating physical priors into neural networks