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We are seeking to recruit a 2-year postdoctoral researcher within Human-Computer Interaction to work on the interdisciplinary project DARES: Data Quality for Responsible AI in Energy Systems funded
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design spaces, predicting device behavior, and identify optimal parameters without the prohibitive cost of fabricating numerous physical prototypes. You will work at the interface of AI and photonic
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(UCLA) as external collaborator. Brief project description The project develops new methods for causal inference when covariates are high-dimensional – settings in which traditional estimators often face
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Introduction MoPo investigates the role of moral judgment in contemporary politics, where citizens increasingly judge one another as good or bad people. While this moralization can reinforce democratic