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learning, small data learning · Active learning, Bayesian deep learning, uncertainty quantification · Graph neural networks This position involves active participation in a well-funded
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research program developing training models for explainable AI inference. This research associate would be expected to build, execute and analyze large suites of galaxy formation simulations using varied
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start date. Strong background and experience in, survival analysis, missing data methods, causal inference, machine learning Proficiency in R and SAS/STATA. Excellent written and verbal communication
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