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to solve challenging problems in the microelectronics area. Note: Synthesis of bulk materials, first-principles simulations/modeling, and organic or bio-related areas are not in consideration
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computer science or related computational engineering disciplines. Experience with simulation frameworks for complex computer systems and architectures. Some knowledge of accelerator (CUDA, SYCL, HIP) and scientific
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(electrochemistry, materials synthesis, or characterization) or computational simulations perspective, is required. Proficiency in Python programming is required. Familiarity with REST APIs is desirable. Master’s
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requires not only expertise in LLMs and machine learning but also an understanding of the unique challenges posed by scientific data, which often includes large-scale numerical datasets, complex simulations
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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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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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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