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Field
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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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, mechanical evaluation, and biological testing. This includes formulating biocompatible and durable polymer composites, utilizing Fused Deposition Modeling (FDM) for precision fabrications, conducting fatigue
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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working in radiological environment. Experience in heat transfer and thermal modeling/simulation using finite-element analysis (FEA) or other software. Ability to work within a multi-disciplinary team
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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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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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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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. 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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are to perform and diagnose model simulations to enhance the understanding of internal tide decay as they propagate across the equatorial Pacific. Primary Job Duties and Responsibilities Develop and implement
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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