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of elemental, isotopic, and impurity analysis on isotope production samples. REDC processing decisions, nuclear material accountability, and radiological waste disposal criteria are often based on TAL ICP-MS
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, including Microsoft Office Suite (Word, Excel, PowerPoint, Outlook) and Adobe Acrobat. Ability to learn ORNL business systems. Strong interpersonal and communication skills to interact tactfully with staff
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(PMI) Science Focus Area and the GPTgp (Generative Pretrained Transformer for Genomic Photosynthesis) project. This position focuses on developing machine learning pipelines, AI-driven scientific
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: Development of new protocols to control coherent spin dynamics for optically accessible spin defects. Enable new spin-based quantum sensing protocols in low temperature and high field environments. Maintain and
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evaluate equipment specifications using sound technical judgment. Experience with PLC/PAC‑based control systems, industrial instrumentation, embedded control hardware, and industrial networking equipment
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never stop learning. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by
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recommendations to management through written reports or presentations. Other duties supporting HSD needs at the discretion of division leadership based on education, training, and experience. Deliver ORNL’s
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computational mesh generation. In this role, you will apply your software engineering skills to develop and validate computational results that support large-scale, physics-based simulations across a variety of
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packages and contribute to the development of internal drafting standards and design practices. Experience evaluating and integrating commercial hardware solutions for PLC/PAC based control systems including
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include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a travel allowance and access to advanced