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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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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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is home to a consortium of postdoctoral fellows who provide modeling expertise for a wide range of projects as integral members of those research teams. Unit URL https://imci.uidaho.edu/ www.uidaho.edu
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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
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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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light–matter interaction through appropriate transport models, properly accounting for attenuation effects due to the materials. The activities will be carried out within the EIC PATHFINDER PREDICT
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YOUNG RESEARCHER IN THE FIELD OF EARLY DETECTION OF THE HEALTH STATUS OF PLANTS USING REMOTE SENSING
and features for the pre-symptomatic detection of changes in the physiological status of plants, developing, training, validating, and comparing predictive machine learning and deep learning models
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learning workflows, and developing complete models. Example applications include drug design, cryo-electron microscopy, structural prediction and dynamic simulation of biological macromolecules, genomics