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Field
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and integrate the existing MATLAB-based HFMC model with Aspen Plus to enable process-level simulation and evaluation. • Develop and assess multistage and multi-membrane process configurations for CO₂/CH
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postdoctoral position focused on the development of a novel vertex detector concept for FCC-ee. The successful candidate will contribute to detector prototype testing, detector simulation and optimization, and
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to simulations on quantum simulators and computers, and applications of machine learning, including neural quantum states. Candidates will benefit from state of the art computing resources at the Argonne
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: Simulations and selection effects for SN Ia cosmology and beyond (Lancaster University): lead the forward-modelling of the combined LSST+TiDES sample, and characterise its associated sample selection effects
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work with multidisciplinary teams to develop, validate, and demonstrate advanced mobility technologies using large-scale transportation data, high-fidelity simulation, vehicle-in-the-loop testing, and
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microscopic traffic simulation and visual analytics platform for Traffic Impact Assessment (TIA). Duties and Responsibilities The appointees will conduct research and development in one or more of the following
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simulations. Develop and optimize automated workflows for data generation and active learning, including molecular dynamics (MD) sampling, configuration selection, labeling with reference methods, and model
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machine learning, including applications to global analyses, as well as quantum information, and real-time classical and quantum simulation. For more information, please consult https
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-Chem simulations for modeling aerosols and clouds in the Arctic region. - Analysis of the interactions between aerosols, clouds, and climate using data from the simulations. - Validation of the models
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. The role combines hands-on experimental mechanics with rigorous simulation and data analysis and benefits from complementary expertise in scientific machine learning and constitutive modeling of anisotropic