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A postdoc position is immediately available at the Advanced Photon Source of Argonne National Laboratory. The postdoctoral appointee will develop ultrafast microscale photonics and MEMS
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candidate will work on cutting-edge research integrating genome-scale language models (GenSLMs) with deep mutational scanning data, and experimental virology to predict viral evolution and identify emerging
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capability and scalability of multi-scale and multi-physics simulation codes. Develop turbulent combustion models for predictive CFD simulations of combustion dynamics in rotating detonation engines (RDEs
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The Advanced Photon Source (APS) at Argonne National Laboratory invites applications for a postdoctoral position focused on developing novel computational approaches for multi-modal biomedical image
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We are seeking a highly motivated Postdoctoral Appointee with a strong background AI/ML specifically in the development and application of Large Language Models (LLMs) tailored for scientific use
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the experimental observations, prepare technical reports and manuscripts, and support future project applications. Major duties and responsibilities include: Formulate slurry for catalyst membrane and battery
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. Objective: Develop and optimize workload-specialized interconnects and network-aware communication strategies to enhance the performance of AI and HPC workloads. Implement adaptive routing techniques and
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. The group develops modeling and optimization tools to accelerate the design, analysis, and deployment of efficient, flexible, and cost-effective industrial and energy processes. The postdoctoral researcher
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is supported by a DOE-funded research program on ultrafast science involving Argonne National Laboratory, University of Washington, and MIT. The goal of this research program is to understand and
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simulations of realistic atomizers to capture liquid jet breakup characteristics. Perform high-fidelity simulations of gas turbine combustors with aviation fuels by developing accurate and computationally