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energy, CO2 storage, or hydrogen storage. Demonstrable experience in simulating and analysing coupled multi-physics processes (e.g., heat and fluid flow, chemical reactions and fluid flow) related to low
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research experience in the field of computational mechanics, thermal and chemical processes in a combustion system. Possess sufficient breadth and/or depth of knowledge in combustion, fluid dynamics and
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- UGA. It is a highly interdisciplinary laboratory (solid/fluid mechanics, statistical physics, optics, applied mathematics, biology) mande up of nine groups. You will be part of the group MC2 (Cell
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of neurodegeneration. WashU Medicine is renowned for its research cohorts of neurodegenerative disorders, which include clinical, neuropathology, neuroimaging, and fluid biomarker phenotypes. Recent publications
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numerical fluid mechanics, scientific computing, or model-order reduction, who is willing to engage in innovative and interdisciplinary research questions. The successful candidate will also have the
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for kinetic and/or fluid equations Multiscale problems and model reduction Modern machine learning software tools and frameworks Implementation of scalable numerical algorithms on HPC architectures Excellent
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with at least 3 years of research experience in a field related to numerical fluid mechanics, scientific computing, or model-order reduction, who is willing to engage in innovative and interdisciplinary
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the area of statistical mechanics and percolation theory, materials modelling for fluid separation from frameworks. Excellent verbal and written communication skills, and excellent record of research
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: Experience in one more of the following areas: Mathematical methods for kinetic and/or fluid equations Multiscale problems and model reduction Modern machine learning software tools and frameworks
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, Mechanical Engineering, Chemical Engineering, Environmental Engineering, or a related field. We seek candidates with strong expertise in thermo-fluid engineering, thermodynamic modelling, and optimization