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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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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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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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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
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statistical models to predict treatment response; optimizing individualized rTMS targeting using neuronavigation and computational modeling; designing and conducting n-of-1 trials embedded in routine clinical
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the various phases of silicon in various 3D stress configurations. A predictive model should properly account for the complex physics, damage and fracture. The loading conditions in contact and scratching
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controlling their noise is critical. This PhD focuses on airborne noise source localization in urban environments, enabling quiet air mobility. Job description The rapid growth of air mobility operations
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. The generation of particles is rooted in the complex fracture events spanning the various phases of silicon in various 3D stress configurations. A predictive model should properly account for the complex physics