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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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, including parallel computing frameworks, C/C++, Julia and/or python Experience with training AI surrogate and/or inverse models Experience working in underground laboratories and/or clean rooms Excellent
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solutions to compelling problems in energy and security. We are seeking an outstanding Postdoctoral Research Associate with a strong background in condensed-matter physics and materials science and expertise
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