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these challenges by: Developing predictive workload, lead-time estimation, material planning models to capture the high variability in HMLV environments using hybrid AI (combining machine learning, feature-based
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in the prediction and modelling of extreme flood events? Do you want to understand how
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types will change under different climate change scenarios based climate projections. This framework will be ultimately included in a flood prediction model, which will be developed within the VIDI
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fields). Strong quantitative skills and demonstrated expertise in predictive modeling and advanced computational methods (e.g., Multilevel Vector Autoregressive Models, Dynamic Structural Equation
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to turn partial MRI measurements into meaningful input for predicting optimal sensor phase configurations and feedback control; Identifying pathways towards the integration of domain knowledge about MRI
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by investigating decomposition processes under controlled conditions to unravel the mechanisms of peat decomposition, identify the main actors and predict the interaction between these actors and their
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that enhance the development and evaluation of advanced analytical models using health data. This includes methods for prediction, explainability, prediction under intervention, algorithmic fairness, transparent
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20 Dec 2025 Job Information Organisation/Company University of Twente (UT) Research Field Computer science » Modelling tools Computer science » Programming Engineering » Civil engineering
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companies like ASML, VDL, Philips, and Thermo Fisher, where extreme accuracy and reliability are critical for innovation and competitiveness. Core to this field is multi-physical system-level modeling
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to join our research team for a project focused on battery modelling, state estimation, fault diagnosis and control. Information Batteries are at the core of the sustainable energy transition by powering