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), Proficiency with LCA software tools (e.g., openLCA, SimaPro, Brightway, Activity Browser), Experience with LCA uncertainty, sensitivity analysis, and scenario modelling, Energy systems modelling and simulation
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a testbed of micromorphic numerical models, and metamaterials. Proposing experimental methods to obtain micromorphic models under small and large strain, with coupled uncertainty quantification
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uncertainties and result errors throughout the whole data assimilation and modeling process. ● Other Duties as assigned. Special Notes: The Research Foundation of SUNY is a private educational corporation
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uncertainties and result errors throughout the whole data assimilation and modeling process. ● Other Duties as assigned. Special Notes: The Research Foundation of SUNY is a private educational corporation
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records from satellite data, and/or improved methods of uncertainty characterisation, including the use of artificial intelligence and machine learning to improve or analyse satellite climate data records
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to increasing CO2 and climatic change is a large uncertainty for ecosystems, crop productivity and climate predictions. To tackle this uncertainty, we combine: growth chamber experiments, samples from world
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plants will respond to increasing CO2 and climatic change is a large uncertainty for ecosystems, crop productivity and climate predictions. To tackle this uncertainty, we combine: growth chamber
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predictive control under uncertainty for autonomous systems. The research aims to develop improved numerical methods for solving challenging belief-space motion planning problems, where the uncertainty in
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carbon capture simulation through advanced modelling tools—CapSim”. This project aims to improve CO2 capture simulation technology by apply state‐of‐the‐art techniques for evaluation of uncertainties in
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, global geopolitical dynamics and uncertainties in the supply of critical materials threaten energy system resilience. This transition relies on advanced technologies and renewable fuels. Therefore, unlike