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-driven methods provide excellent performance under low or cyclo-stationary regimes but struggle with highly dynamic and rapidly varying conditions; conversely, model-based state observers ensure robustness
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predictive models, and interpreting large environmental datasets, collaborating in interdisciplinary projects and in the production of scientific publications. In the performance of duties, it may sometimes be
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probabilistic modelling. The focus will be on quantifying and evaluating uncertainty in both numerical and categorical predictions derived from medical reports, and on integrating these uncertainties
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Law, CRCF). It will develop AI tools to map and predict soil health across space and time, accelerate literature reviews, extract best management practices from long-term experiments, and design methods
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scalable IoE energy management strategy; 4) to develop agile IoE fault detection and accurate failure prediction methods; 5) to construct an intelligent energy optimisation system. SAILING combines excellent
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) to design an intelligent and scalable IoE energy management strategy; 4) to develop agile IoE fault detection and accurate failure prediction methods; 5) to construct an intelligent energy optimisation system
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community visit: https://greateriowacity.com/build/area-advantages/ The position will begin in Fall 2026, with flexibility in start date based on candidate availability. The initial appointment is for 1 year
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. However, in many real-world and latency-critical applications, performance cannot be assessed solely through final recognition accuracy. Instead, the value of a prediction strongly depends on its timeliness
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workflow that maps first-principles electronic-structure data onto predictive atomistic spin-Hamiltonians and device-scale dynamical models. The candidate will run high-throughput, relativistic DFT
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to reduce the amount of required training data while maintaining high predictive accuracy. Methods and Techniques : Density Functional Theory, Machine Learning for atomistic modeling Location : Institut Jean