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techniques including graph neural networks, Bayesian neural networks, conformal prediction intervals and generative AI for synthetic data generation. You will also develop frameworks for uncertainty
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networks, Bayesian neural networks, conformal prediction intervals and generative AI for synthetic data generation. You will also develop frameworks for uncertainty quantification in forecasting and
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an international network spanning computational psychiatry, clinical psychology, and neuroscience. Your job The Department of Clinical Psychology at Utrecht University has a job opening for a Postdoctoral Researcher
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mechanisms underlying risk and resilience. You will work with a rich multimodal dataset and collaborate within an international network spanning computational psychiatry, clinical psychology, and neuroscience
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, methodologies, and information derived from Bayesian modeling, data science, cognitive science, and risk analysis. Its primary objective is to create advanced forecasting models, generate meaningful indicators
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), and physiological parameters in the study of animal behaviour; a strong background in data analysis using R, preferably experience with Bayesian statistics and social network analysis; lab experience