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the performance and scalability of large-scale molecular dynamics simulations (e.g. LAMMPS) using machine-learned potentials (e.g. MACE) through algorithmic improvements, code parallelization, performance analysis
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
Requirements Required skills, abilities, and knowledge: Recent or soon-to-be completed PhD (within the last 0-5 years) by the start of the appointment in computer science, electrical engineering, applied
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transfer of the reaction process. This research is closely aligned with the corresponding experimental studies. Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field
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electrochemistry. Position Requirements Skill in devising and performing experiments to acquire data; using and maintaining research equipment; compiling, evaluating, and reporting test results. Experience in
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such we are looking for a candidate that has shown the ability to create their own experimental apparatus to solve challenges. The position will require flexibility and a willingness to learn new
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for this exciting opportunity. Position Requirements Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years) in Economics, Regional Science, Public Policy, Engineering, or a related field
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with computer-aided design software. Knowledge of deep machine learning (using TensorFlow, PyTorch, etc.) for multi-fidelity modeling, regression tasks, management and analysis of large datasets, and
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machine learning expertise, with the goal to enhance predictive capability and scalability of multi-scale and multi-physics simulation codes. Perform high-fidelity CFD simulations of complex physical
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knowledge of advances in modeling, simulation, machine learning, and data analysis. Employment of these models on high performance computers and cloud-based infrastructures. Design, develop, and deploy novel
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for future Exascale architectures. All candidates are encouraged to apply if they have a genuine interest learning and enhancing these skills. Candidate is looking forward to work and engage with a diverse