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models and simulations that deepen the understanding of the underlying physics involved. The ultimate goal is to create predictive, physics-based models that optimise and control pharmaceutical
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AI/ML models for predicting materials properties using data-driven approaches, including the treatment of disordered inorganic materials. Develop codes as necessary to assist existing and new code
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-dimensional mapping model of existing UK cohorts along axes of consent level, clinical characterisation and data availability. Your outputs will feed into an industry-facing web platform – developed in
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 1 month ago
seeks to enable more accurate calibration and updating of model-based digital twins. These methodologies integrate observed data with simulation models developed during the design phases, reducing
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address key challenges within these processes, constructing robust models and simulations that deepen the understanding of the underlying physics involved. The ultimate goal is to create predictive, physics
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application programming interfaces (APIs), through rigorous simulations and proof-of-concept (PoC) trials. This position is ideal for a researcher with a passion for solving complex problems at the intersection
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testing Perform numerical modelling and simulation, such as finite element modelling, parametric studies, and calibration against test data. Analyse experimental and numerical results, and prepare technical
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through modelling and simulation of sociotechnical systems. This project seeks a candidate with expertise in modelling dynamic behaviours of complex sociotechnical systems, particularly in aerospace
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Modeling naturally fractured reservoirs is re-gaining interest in the Oil & Gas industry and academia for application in carbonate fractured reservoirs and unconventional reservoirs where natural
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addition to real-world deployments, the postholder will design simulated dashboards and model-based demonstrations that illustrate potential future applications of digital energy systems where real data may not yet