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quantification To learn more, visit our website at: https://dp-fellowships.llnl.gov These positions may offer a hybrid schedule, which includes the flexibility to work from home one or more days per week
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learning and machine learning evaluation and monitoring of AI systems micro-randomized trials uncertainty quantification prediction-powered inference. Indiana University Bloomington offers an
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statistical learning and machine learning evaluation and monitoring of AI systems micro-randomized trials uncertainty quantification prediction-powered inference. Indiana University Bloomington offers an
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heterogeneity statistical learning and machine learning evaluation and monitoring of AI systems micro-randomized trials uncertainty quantification prediction-powered inference. Indiana University
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and high-performance or GPU-accelerated computing environments. Applying rigorous methods for external validation, transportability, subgroup performance, fairness, uncertainty quantification, and
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development for data harmonization. Regulatory science and explainable AI, verification, validation, uncertainty quantification, and AI evaluation framework High-performance computing and big data
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, representation learning, continuous-time architectures (e.g. neural ODEs, flow matching and continuous normalising flows), robustness, interpretability and uncertainty quantification; collaborate with
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domain-specific information into latent-variable models. Investigate methodological questions related to computation, identifiability, uncertainty quantification, and interpretation. Account for