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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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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
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of complex propulsion systems involving modeling of multi-phase flows, turbulent combustion, heat transfer, combustion, and thermo-mechanical fluid-structure interaction by further developing commercial/in
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. The project will involve development of novel parallel algorithms to facilitate in-situ analyses at-scale for multi-million and multi-billion atom simulations. In this role, you can expect to work on enhancing
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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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, transport, and/or conversion. Key Responsibilities: Carry out a world-class research program in carbon management, train postdoctoral researchers and students (as appropriate), publish research findings in
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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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The Chemical Sciences and Engineering (CSE) Division at Argonne National Laboratory is seeking a postdoctoral researcher to conduct cutting-edge research in the development of advanced electrolytes