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), data versioning (e.g., DVC), and policy-driven management systems (e.g., iRODS, Globus), ensuring consistency, reproducibility, and accessibility. Optimize performance, scalability, and cross-team
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Qualifications: Experience architecting hybrid AI systems that dynamically route between local and cloud models Hands-on experience setting up on-demand local model inference (GPU-backed or CPU-optimized
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practitioner, this individual also serves as the division’s lead prompt engineer, developing and optimizing AI-driven sourcing workflows that enhance recruiter effectiveness, market intelligence, and proactive
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practitioner, this individual also serves as the division’s lead prompt engineer, developing and optimizing AI-driven sourcing workflows that enhance recruiter effectiveness, market intelligence, and proactive
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, digital manufacturing capabilities, and data-driven approaches to accelerate the design, optimization, and scale-up of high-performance composite manufacturing processes. This position resides in
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analysis teams, vendors, and personnel at the ITER headquarters in France to realize optimal design solutions in compliance with ITER requirements. Working closely with quality assurance and procurement
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library collections and services. This position primarily oversees the administration, maintenance, and optimization of cloud-based library systems and technology; supports and enhances access and discovery
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develop appropriate models and computational strategies to assess HFIR Isotope Production target design. Contribute to the design of radioisotope production targets to optimize coolant flow and thermal
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, calibration, and application. Experience with computational methods including steady-state modeling, dynamic simulation, computational fluid dynamics (CFD) to support system design and performance optimization
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partners closely with stakeholders across the division to ensure business systems are optimized, reliable, and aligned with organizational requirements. Major Duties/Responsibilities: Provide analytical and