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to ongoing fuel cycle material-related research projects Communicate and coordinate with technical staff members to execute work within shared laboratory spaces Contribute to proposal and focus area
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with AI workflows. Familiarity with concepts like metadata management, parameter space coverage, or agentic AI. Prior exposure to DOE workflows or national laboratory environments Motivated self-starter
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(Korringa-Kohn-Rostocker) or real space methods for electronic structure calculations Excellent written and oral communication skills Ability to communicate with and participate creatively in collaborative
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field experimental ecophysiology measurements Experience applying ML/AI to biological or environmental data (e.g., transformer, state space models, multi-layer perceptrons, convolutional neural networks