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(3) Machine Learning (ML) approaches that improve determinism and predictability across IBF and APPF processes. This position supports an integrated program encompassing advanced control for IBF, APPJ
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This role is ideal for a Recruiter/Senior Recruiter who: Enjoys complexity Values process and thoughtful decision-making Is comfortable in environments where authority is shared Understands scientific and
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the acquisition process and maximize resources. Will also develop, negotiate, award, and manage a wide variety of large high dollar and complex contract types, such as fixed-price and cost-reimbursement contracts
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synchrotron experiments at NSLS-II, integrating multimodal datasets, and developing predictive process-structure-property frameworks and closed-loop AI-experiment workflows for high-precision advanced
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, optimization, and characterization integrating imaging, experimental metadata, and diffraction outcomes. Design and deploy computer vision methods to detect and track crystal growth. Develop closed-loop
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into effective execution across the organization. The role ensures that business processes support the Laboratory's scientific mission through sound financial management, strong business partnerships, and
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structural data. Develop workflows for time-resolved crystallography data processing. Integrate molecular dynamics with AI/ML methods. Benchmark protein foundation model performance and integrate them with
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in accordance with Homeland Security Presidential Directive 12 (HSPD-12) requirements. The credentialing process is completed as part of onboarding and enables access to DOE facilities and information
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safety procedures. Support design reviews, readiness reviews, configuration control, and other formal project processes. Ensure adherence to electrical codes, laboratory standards, and ES&H requirements
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Verification (UPIV) credential in accordance with Homeland Security Presidential Directive 12 (HSPD-12) requirements. The credentialing process is completed as part of onboarding and enables access to DOE