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Geosciences division is hiring an Autonomous Material Processing Postdoctoral Fellow to help transform how critical materials are produced. In this role, you'll bring together machine learning, real-time
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Applied Mathematics and Computational Research Division has an opening for a Computer Systems Engineer 3 - Optimization and AI for Scientific Discovery to develop and apply machine learning, agentic AI
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for self-driving and/or human-in-the-loop experiments; (3) computer vision for extracting complex patterns, structure, and meaning from images and/or volumes; and (4) new mathematics and algorithms leading
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microscopy, image processing, data simulation, modeling and numerical analysis of spectroscopic and microscopic data. Strong experience in fundamental electrochemistry. Ability to work as an independent
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manufacturing processes and tubable optics fabrication Knowledge of hyperspectral imaging and detector requirements Proficiency with advanced material characterization techniques (morphological, composition
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) computer vision for extracting complex patterns, structure, and meaning from images and/or volumes; and (4) new mathematics and algorithms leading to new applications of machine learning and artificial
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emission spectroscopy. Research will focus on femtosecond laser spatiotemporal pulse shaping with bursts of femtosecond pulses, imaging with single-shot ultrafast schemes, and high resolution plasma
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systems and stabilization, and experimental electronics and control software Demonstrated experience in the design and implementation of optical systems for trapping, imaging, and addressing single atoms
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, assembling, machining, installing, set up, operating, testing, inspecting, maintaining, troubleshooting, or modifying standard apparatus, parts and components, devices, equipment, processes or systems
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infrastructure projects. You will: Receive, inspect, document, barcode, and process incoming materials, equipment, and supplies. Maintain accurate inventory and location records using EZOI and other digital