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planning and operations, and the interaction with other infrastructures. Some of these tools will require the development of underlying optimization methodologies and analytics frameworks. The successful
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optimization technologies are revolutionizing the way power grid is operated and planned. CEEESA is seeking talented and motivated researchers to enhance its capability in solving energy challenges using
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other collaborators for the development and optimization of experimental process; 2) analyze collected data with Argonne’s EverBatt model to estimate associated cost and environmental impacts; 3) write
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of Cyanobacteria and carrying out experiments with those bacteria, as well as flow cytometric analysis. Key Responsibilities: Develop and optimize extraction methods for recovering ultra-long, high molecular weight
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define requirements and performance specifications for future HEP/NP detector systems Perform detector concept development, system-level design, and optimization leveraging emerging computing architectures
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, computational scientists, and engineers to identify use cases and validate AI-driven discoveries. Optimize system performance for deployment on high-performance computing infrastructure and cloud platforms
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optimization and scheduling, workflow understanding, and software installation Collaboration and mentorship Collaborate with internal and external researchers to drive innovation in nanoscience and
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Deploy, commission, and operate TES X-ray microcalorimeter spectrometers at APS beamlines, including cryostat integration, beamline interfaces, alignment, and stability optimization. Perform pathfinding
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computational research in accelerator science and technology. The focus is on developing and applying machine learning (ML) methods for accelerator operations and beam-dynamics optimization in advanced
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management practices and AI/ML approaches for experimental planning, workflow optimization, and data analysis is beneficial Advanced ability to interpret and integrate complex experimental results within