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regional CCUS value chains. • Build and maintain a parameter registry with data sources, assumptions, parameter ranges, and confidence ratings. • Develop and validate a bottom-up techno-economic
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liquefaction, storage, vessel logistics, and regional CCUS value chains. Build and maintain a parameter registry with data sources, assumptions, parameter ranges, and confidence ratings. Develop and validate
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high dimensional parameter inference problems with Bayesian statistics, powerful MCMC methods have been proposed, for example the MCMC differential evolution and the Riemann Manifold Langevin Monte
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estimation and analytical frameworks (e.g., I-MPA 6096, "Global Problem Solving and Program Evaluation: Eldercare in Asia"). Assist faculty in coordinating course exercises, managing student-facing