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simulations, predict emerging and new variants of interest in SARS-CoV-2 Integrating high-throughput deep mutational scanning and reverse genetics workflows to support pandemic bio-preparedness. As part of
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simulations, or PMTs or SiPMs. Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork. Job Family Postdoctoral Job Profile Postdoctoral Appointee Worker Type Long-Term (Fixed
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). Knowledge of the Multiphysics Object-Oriented Simulation Environment (MOOSE) framework. Experience in computational modeling of advanced reactor designs including both fission and fusion systems. Knowledge
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decarbonization applications. With guidance, the appointee will: Develop advanced multiscale, multiphysics simulation tools applicable to the modeling of chemical processes and equipment relevant to chemical
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including engineering, economics, and environmental science. Experience developing mathematical or computational models for simulation and optimization of energy/economic systems in ASPEN Plus® and/or Julia
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with fuel and chemical production technologies from U.S. Energy Information Administration (EIA) database, U.S. Environmental Protection Agency database (e.g. GHGRP, NEI), field data, process simulations
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of various materials (heterogeneous catalysis). Both cluster models and periodic models are used to represent the catalytic site. In addition, X-ray Spectroscopy (XAS) simulations (e.g., XANES) will be carried
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-beam systems or electron beam lithography. Some amount of modeling and simulation work will be required. Position Requirements PhD in materials science, physics or closely related field; received within
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We are seeking a postdoctoral appointee to support the development of large-scale modeling, simulation, and analysis platforms in the areas of energy, military, transportation, and supply chains
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cosmology, and simulations. Analysis efforts cover topics such as CMB power spectra, CMB lensing, galaxy clustering, redshift-space distortions, and weak and strong gravitational lensing. The observational