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. This position offers an exciting opportunity to work at the intersection of HPC and AI, addressing critical communication bottlenecks and optimizing network interconnects for large-scale distributed systems
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We invite applications for a Postdoctoral Appointee to contribute to a growing research program in process systems modeling and optimization for clean energy, critical materials, and advanced
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-based models, particularly for epidemiological applications; 2. Data science and large-scale data analysis in high performance computing environments; 3. Optimization, uncertainty quantification, and
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for next-generation lithium- and sodium- ion batteries. This role provides a unique opportunity to work at the forefront of battery innovation, focusing on the design and implementation of novel synthesis
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algorithms to develop cybersecurity, optimization, and control solutions for real-world grid applications. Candidates will be required to work in at least 4 of the following areas: Build, simulate, and
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dynamics (CFD) to develop and optimize new processes and equipment designs using high-performance computing Analyze data, prepare manuscripts for submission to peer-reviewed publications, prepare technical
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modeling tools to develop and optimize new processes and equipment designs using high-performance computing Analyze data, prepare manuscripts for submission to peer-reviewed publications, prepare technical
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on integrating and analyzing diverse data types to support scientific discovery Research and implement data management solutions using advanced storage systems Evaluate and optimize AI applications for performance
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, and optimize for energy efficiency HPC applications and high performance data stream analytics workloads. Use of novel accelerator designs, and automatic methods to model/predict how performance would
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pipelines and methods for neuroimaging. The successful candidate will join a dynamic team of scientists conducting a wide range of research with state-of-the-art tools. The IMG operates three beamlines