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computational foundations of that capability and help bridge the gap between Bayes theory and practical application: knowledge integration, developing robust likelihood frameworks, sampler behavior for long
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tooling for fabrication, inspection, testing, and assembly. Deliver high-quality drawings and bills of materials utilizing robust configuration management practices. Utilize SolidWorks 3D CAD to create
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members on large and medium sized projects, and mentor a team of engineers to deliver a robust internal platform that powers development across the organization. Major Duties/Responsibilities: Work with the
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-time data acquisition and telemetry systems Familiarity with cloud computing platforms and edge deployment of ML models Experience with uncertainty quantification, sensitivity analysis, or robust
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platform engineering initiatives, evaluate and integrate key technologies, and mentor a team of engineers to deliver a robust internal platform that powers development across the organization. Major Duties
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efficient techniques that maintain robust privacy guarantees while minimizing performance impact. Additionally, you will optimize the balance between privacy and utility, addressing the challenges
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modeling, sensitivity and robustness analysis, Bayesian inference, inverse problems, parameter estimation, or model validation. Experience or strong interest in scientific AI/ML, including surrogate or multi
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Computer-Aided Design (CAD) software, creates robust, detailed 3D models and drawings that represent solutions to complicated manufacturing, assembly, and customer requirement driven equipment
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Directorate at Oak Ridge National Laboratory (ORNL). This team supports the ORNL’s goals through robust systems engineering, integration, and support tailored specifically for our NSS research community. We
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to the development of scalable, explainable, and uncertainty-aware AI methods that enhance model robustness, reliability, and scientific discovery. Publish research findings in high-impact journals and present results