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analytical skills and experience with spatial modelling and statistical software such as R, Python, or MATLAB. Experience using GIS, side-scan sonar, multibeam bathymetry, underwater imagery, remote sensing
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analyses and developing habitat maps using marine datasets. Applicants should possess strong analytical skills and experience with spatial modelling and statistical software such as R, Python, or MATLAB
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related field Excellent reacting flow multi-physics computation experience in high-performance computing (HPC) environments Experience in computational fluid dynamics (CFD) codes and modeling Ability
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of contributing to multidisciplinary research projects involving experimental spectroscopy, materials characterization, and computational modeling. Prior experience with solid-state NMR spectroscopy, including
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include monitoring, modeling, and controlling the operations of multimodal transportation systems, new vehicle technologies, urban mobility, research at the intersection of traditional traffic flow theory
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high-performance computing (HPC) environments Experience in computational fluid dynamics (CFD) codes and modeling Ability to present and publish results in peer-reviewed journal articles Preferred
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impact areas outlined in the Excellence 2030 Strategic Framework: Urban Systems. Specific research areas within the mobility theme include monitoring, modeling, and controlling the operations of multimodal
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, and analyzing these data using advanced statistical models and visualization techniques. The job also emphasizes the dissemination of knowledge about population health, particularly through
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related to materials. The successful candidate will independently lead a project focused on developing generative AI models to establish structure-property relationships for materials discovery
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include: expertise in programming and coding (preferably using Python and C++) and GUI development; expertise in computational mechanics and finite element simulation and modeling; expertise in laboratory