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field. Solid knowledge, and independent research capability in optimization, computing, power system engineering with track records of publications. Proficient in implementing control and optimization
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engineering, controls and data systems, and internal and external scientific partners. Essential Duties and Responsibilities: Lead preparation of a review-ready engineering specifications document
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This is an opportunity for a knowledgeable and creative individual to be part of a team developing advanced humanoid and dexterous robotic capabilities for scientific use-cases. Recent progress has
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engineering controls such as gloveboxes or hoods is desired, but not mandatory. Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork. Other: To perform the essential
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key element of the two-beam acceleration concept Emphasize Bayesian optimization approaches and integrate these methods into the facility control system Design, execute, and analyze accelerator
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advanced synchrotron X-ray techniques. The successful candidate will be at the forefront of integrating cutting-edge AI methodologies with world-leading X-ray characterization. You will develop and apply
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implementations for agentic AI, LLM deployment, and automated laboratory integrations (e.g., self-driving labs). Facility Support & Training: Dedicate a portion of time to general ALCF user support, including
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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
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incorporating the molecular systems for strong light–matter coupling. The successful candidate will: Develop thin-film deposition and cavity fabrication processes, including spin coating, polymer matrix blending
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technologies, control algorithms and powertrain architectures with focus on advanced technologies. The candidate will assist on projects to benchmark next generation vehicle systems, identify opportunities