70 parallel-computing-numerical-methods "Institute of Computer Science" positions at Argonne
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theory Demonstrated computational expertise in applying quantum mechanical methods to study: electronic and photochemical properties catalytic reaction mechanisms homogeneous and heterogeneous catalytic
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The Chemical Sciences and Engineering Division invites applications for a Postdoctoral Appointee to contribute to innovative research at the intersection of computational catalysis, quantum
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of atmospheric dynamics, process scale models, and numerical computation techniques Knowledge of data analysis Knowledge of using atmospheric and hydrological observational datasets, data assimilation techniques
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camera technology and multiplexed readout systems for quantum information science applications. In this role, you will join a multidisciplinary team spanning several Argonne divisions and contribute
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Argonne National Laboratory is seeking a scientist to help advance the emerging field of networked and distributed quantum computing. This position offers the opportunity to shape new architectures
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micromechanical models, ideally including crystal plasticity methods. Good grasp of numerical methods for implementing and solving complex physics-based models in the context of the finite element method. Coding
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The Center for Nanoscale Materials (CNM) at Argonne National Laboratory invites applications for a postdoctoral research position focused on developing AI/ML methods for autonomous materials
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and electrocatalysis, including: catalyst design mechanistic studies microkinetic modeling reactor modeling Strong computational expertise in applying quantum mechanical methods to determine electronic
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. Experience in numerical methods and CFD development using mesh-based scientific codes. Expertise in the lattice Boltzmann method (LBM) as evidenced by their publications High performance computing (HPC
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, or network-based modeling of infrastructure or industrial systems. Familiarity with high-performance computing, cloud computing, or parallel computing environments for training models and solving optimization