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conventional gray infrastructure bring opportunities to improve system performance and adaptability. However, significant uncertainties remain regarding the environmental, economic, and societal implications
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mechanistic understanding of how the brain anticipates, infers, learns and acts under uncertainty. Assistant Professor in Predictive Brain Processes Our goal: You will establish an independent and
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. To this end, domain decomposition techniques, uncertainty quantification, and reduced models—possibly based on neural network training—will be considered, along with the development of theoretical results
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for environmental pollution sciences. It focuses on robustness to distribution shifts, degraded inputs, and out-of-distribution conditions, while also addressing uncertainty quantification, explainability, fairness
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, formal verification, proof assistants, automated proof search, and AI-guided mathematical discovery; neural operators, physics-informed learning, inverse problems, uncertainty quantification, and rigorous
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Future robots must perceive, predict, communicate, and decide reliably in complex, human–robot shared environments. The Mobile Robotics (https://www.aalto.fi/en/department-of-electrical-engineering
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predictions with available furnace inspection or rebuild data. Evaluate refractory wear rate, remaining thickness, and remaining service life trends. Perform data analysis, visualization, uncertainty evaluation
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limited to, theoretical performance guarantees, learning dynamics and generative modelling, sampling and transport methods, statistical foundations, and uncertainty quantification. The candidate should
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; · insufficient characterization of predictive uncertainty; · lack of robustness to distribution shifts, rare events, and adversarial conditions; · lack of traceability and auditability required by
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change → code quality, architecture → product fit, app → runtime outcome), with calibrated uncertainty, validated against real telemetry. Data — reconstructing (specification → architecture) pairs from