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, precision and autonomous synthesis science, energy storage and conversion materials, correlated electron systems, and AI/ML-accelerated materials discovery. • Lead the development of ambitious, cohesive
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and tools to support engineering analyses of power grid planning and operations. Some of these tools will require the development of underlying optimization methodologies and analytics frameworks
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focus on the design and development of novel fabrication methods for trilayer superconducting qubits with a particular focus on incorporating atomic scale processing (i.e. atomic layer etching and
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responsibilities include: Conducting high-resolution model simulations of convective storms Contributing to model development using AI/ML approaches in areas such as clouds, turbulence, land–atmosphere
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. Candidates should be comfortable working in a fast-moving research setting where methods development, software implementation, experimentation, and scientific communication are all important parts of
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research in radiochemical separations and advanced aqueous recycling of used nuclear fuel (UNF). The successful candidate will contribute to the development and optimization of advanced aqueous recycling
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System Development & Support: Lead the enhancement, modernization, and troubleshooting of control systems for 60+ insertion devices and associated infrastructure, primarily using the EPICS framework
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intensification Collect, analyze, and interpret experimental data to assess process performance, stability, and scale-up considerations Support development of process documentation, including test plans
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optimization strategies to accelerate large-scale design studies and parameter scans. Contributing to the development of a conceptual design report for a scalable compact XFEL facility, including
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many of these models from development to application to infrastructure and resilience workflows within DIS and supporting DOE and private sector utilities, we have started building out a team to support