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A postdoctoral appointee position is immediately available at the Advanced Photon Source (APS) at Argonne National Laboratory. Working with scientists from the APS, the successful candidate will
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specifically on developing machine learning-based surrogates and emulators for the dynamics of power grids. This role involves creating advanced probabilistic models that capture the complex behaviors
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applications. With guidance, the appointee will: Develop advanced multiscale, multiphysics simulation tools relevant to the modeling of processes involving combined nuclear, chemical, and electrochemical
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of advanced scanning/transmission electron microscopy (S/TEM) methods for cutting-edge scientific research in areas such as quantum materials and low-dimensional energy systems. This position emphasizes
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) simulations and reduced order modeling of turbulent and reacting flows relevant to advanced propulsion and power generation systems, such as gas turbines and detonation engines. The successful candidate’s
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-Ocean model coupled with E3SM’s land and river components Including wave setup processes into E3SM by coupling the E3SM wave and ocean components Application of this coupled model to better understand
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DNA from soils Carry out library preparation for long read sequencing Use CRISPR-Cas to edit genomes of common soil bacteria Establish and maintain cultures of common freshwater Cyanobacteria This role
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Extraction), jointly led by the Chemical Sciences and Engineering (CSE) and Applied Materials (AMD) Divisions at Argonne National Laboratory. This project focuses on understanding the evolution of structure
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), optical, cryogenic, and synchrotron X-ray environments Fabricate photonic and metamaterial structures using advanced nanofabrication tools (e.g., lithography, dry etching) Contribute to the development and
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. This exciting project focuses on further development of beam position monitoring structures and high gradient testing of components. They will play a key role in designing, fabricating, and testing advanced