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for dynamic MRI and physiological data; integrate multimodal metrics to uncover fluid-flow interactions. * Clinical collaboration, working closely with neurologists and neurosurgeons on studies of healthy aging
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efforts to quantify multi-scale neurofluid dynamics, including blood flow and cerebrospinal fluid movement, using state-of-the-art MRI methods alongside simultaneous physiological monitoring
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The Multiphysics Computations Section at Argonne National Laboratory is seeking to hire a postdoctoral appointee for performing high-fidelity scale-resolving computational fluid dynamics (CFD
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modelling, turbulence modelling, and computational fluid dynamics. Experience in chemical kinetics modelling, multiscale simulation methods, and scientific programming is essential. Experience with plasma
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FieldChemistry » Computational chemistryYears of Research Experience1 - 4 Additional Information Eligibility criteria Expertise in molecular dynamics and Monte Carlo simulations (expert proficiency required
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disease and stroke using novel and integrative computational and statistical analyses. The candidate will hold a PhD in statistics, Bioinformatics, Computational Biology, Biostatistics, Statistical Genetics
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strong experience in the analysis of partial differential equations. The research topic of the postdoc will be on issues of long time dynamics and singularity formation, for waves, fluids, or reaction
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skills to join our effort and generate novel insights of neurodegeneration with this unique dataset, while working in a highly dynamic multidisciplinary and collaborative environment. The new postdoctoral
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advanced computational techniques to investigate their thermodynamic and transport properties and behavior. Providing presentation of research results at weekly lab meetings and at national or international
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, and structural heart interventions. CORE FUNCTIONS Some of the main duties include, design, conduct, and analyze solid mechanical simulations and computational fluid dynamics studies of coronary and