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Field
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for predictive modeling, high-dimensional optimization, uncertainty quantification, forward and inverse design, including the development of Digital Twin components, under the supervision of Prof. Douglas H
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interferometry, etc.), (v) Predictive modelling of coupled phenomena (reactive transport, rock-water interactions, etc.), (vi) Uncertainty quantification (Monte Carlo, meta-modelling), and (vii) Risk analysis. The
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) methods for modeling and optimization of metallic materials and advanced manufacturing processes. Participate in the design of integrated, scalable numerical methods and uncertainty quantification. Follow
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system surrogates, or uncertainty quantification. Model Predictive Control (MPC), data-driven control, or hybrid model-based / data-driven controller synthesis (e.g., RL-MPC) for complex dynamical systems
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workflows to meet project requirements, including sample preparation, data acquisition, spectral interpretation, elemental quantification, and chemical state analysis. Manages the day-to-day operation of
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, including sample preparation, data acquisition, spectral interpretation, elemental quantification, and chemical state analysis. Manages the day-to-day operation of the Thermo Fisher Scientific Nexsa G2 X-ray
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characterization. Develops protocols, specifications, and workflows to meet project requirements, including sample preparation, data acquisition, spectral interpretation, elemental quantification, and chemical state
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methods and depth in one or more of generative modelling, reinforcement learning, Bayesian optimisation, active learning, uncertainty quantification, causal modelling, or optimisation in complex search
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Gaussian processes, MCMC methods, or uncertainty quantification for expensive computational simulators. An interest in applying mathematical methods to real-world environmental challenges, and willingness
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techniques from mathematical modelling, machine learning, uncertainty quantification, distributed decision-making, or other data-driven approaches. Your duties and responsibilities in this 4-year project