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Field
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fatigue. The research methods are based on both small-scale and full-scale experimental testing and on Finite Element Modelling. Timber structures have gained increasing attention in the European
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frequencies of different UAV categories for different power settings shall be modelled. Second, based on mesoscale fluid dynamic simulations, microclimatic and turbulence modelling procedures in urban
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, patient travel times, regional variations, and treatment patterns. Simulation Modelling: The candidate will develop and apply simulation models to evaluate the effects of centralizing care on measures
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capture technologies. In this project, you will: Develop a 3D Digital Model: Create an advanced computational model of high-pressure mechanical seals. Apply Computational Fluid Dynamics (CFD): Simulate gas
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well as Mobility Modeling and Simulation. Research topics range from conceptual issues of strategic planning to small-scale analyses of specific street spaces. The chair’s methodological focus is on the empirical
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of buildings by combining simulations with experimental data investigate human comfort based on the experience of the occupants of buildings building information modelling and digital twins development of user
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-planning of timber production and nature conservation, two important objectives in forestry. The work involves developing knowledge and tools for habitat modelling through 1) mapping existing habitats, 2
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densification model forced by high resolution output from the regional climate model RACMO to simulate the evolution of the Larsen C firn layer in the recent past (1950 to present) and into the future (up to 2100
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will use computational models to explore the minimal functional requirements for self-replication to emerge from polymerising molecules. Instead of simulating specific chemistries in full detail, we will
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the visual system. The goal is to create a robust mechanistic neural network model of the visual system that not only mimics its processing capabilities but also its adaptability, leveraging early