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have expertise and experience in executing density functional theory (DFT) calculations, microkinetic modeling, kinetic Monte Carlo simulations, and Machine learning methods. Minimum Qualifications: Must
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and optimization of measurement-based quantum computing protocols for quantum simulation of quantum many-body models. Preference will be given to candidates familiar with the stabilizer formalism and
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at the Cyclotron Institute in stellar models and identify important nuclear-physics uncertainties for stellar models and, with local experimental and theoretical faculty and researchers, design future studies to
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. The selected candidate is expected to have expertise in one or more of the following areas: modeling contaminant flow and transport at various geospatial scales, process-based modeling of soil organic matter
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design. The primary focus of the lab is on G protein-coupled receptors (GPCRs), particularly those involved in cardiovascular and hormone signaling pathways. Using multiscale simulations—combining
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understanding of power distribution systems. Working knowledge of electric power distribution systems, DER operations, and grid modeling & simulation. Working knowledge of Git. Proficiency in Python and OpenDSS
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the dissolution capability of microneedle patches and transdermal drug release by plasma sample analysis focused on animal models. Finally, the research plan will include a component of simulation to describe
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some of the following areas: molecular dynamics, Monte Carlo simulations, statistical mechanics, computer programming (e.g., C++, Python), polymer theory, molecular modeling (e.g., of proteins, nucleic
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, or a closely related field. Preferred Qualification: Research experience in biomedical implants, animal models, and aging/Alzheimer’s disease. Research experience in biomaterials, neuroscience
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. JOB DESCRIPTION AND POSITION REQUIREMENTS: We are searching for a multi-phase combustion computational fluid dynamics (CFD) Post-doctoral Scholar to join our Technology Concepts and Modeling Department