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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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optimization of hydropower systems and their integration with broader electricity markets. Conduct research on electricity system operations, planning, and market design, including evaluation of economic and
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This position will be dedicated to research projects aiming developing and implementing experimental focused application of AI and automation tools for unraveling fundamental interfacial processes
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The Mathematics and Computer Science Division (MCS) at Argonne National Laboratory is seeking a Postdoctoral Appointee to conduct cutting-edge research in scientific machine learning, focusing
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, and strengthen national energy security. The Postdoctoral Appointee will contribute significantly to ongoing research efforts in resource valorization. Specifically, the candidate will optimize, and
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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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supercomputers such as Polaris and Aurora, while collaborating with leading researchers across diverse scientific disciplines. We encourage candidates who are passionate about applying state-of-the-art AI
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We are seeking creative Postdoctoral researchers to bridge the gap between leadership-class supercomputing and cutting-edge open science in the area of AI and Machine Learning. Successful candidates
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, including synthesis of fuel materials and recycling of used MSR salts. The selected candidate will develop and optimize process chemistries to synthesize chloride and fluoride species, recover metals and
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components. Work closely with a beam diagnostics physicist and controls group engineer to install and optimize diagnostic systems. Develop and integrate mmWave diagnostics equipment for beam position