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data, a physics-based train–track–embankment interaction model will be developed using finite element (FE) and/or multibody dynamics (MBD) approaches. The model will be used to investigate the mechanisms
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firms, system operators and users to reach optimal or stable outcomes in dynamical systems with full and partial information; Computing systemic optimal interventions to improve the system performance
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, such that we can model systems consisting of a wide range of varying materials. These extensions will be employed and tested on actual measurement data as a benchmark. The project will involve mathematical
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, physics-based numerical models will be developed to simulate train–track–bridge dynamic interactions and their resulting structural responses. The health condition of railway tracks on bridges will then be
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the experimental lab (https://www.mathbioleiden.nl/software.html#virtualleaf ). Incorporate detailed insights into the model of the mechanical properties of cell walls based on experiments and small-scale
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contacts working at the front line of quantum computing, and a cross-disciplinary profile that remains rare and in high demand. You will be supervised by Dr Gabriele Liga (https://www.tue.nl/en/research
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a wide range of topics, including network design and software control, reconfigurable interconnects for telecom, datacenters, AI clusters, and quantum networks, down to heterogeneous photonic
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novel computational tools to elucidate these phenomena. This PhD project aims to develop a computational growth and remodeling (G&R) framework to investigate how cartilage microtissue growth dynamics
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Modeling: Generating and maintaining patient-stratified iPSC lines and innovative 3D "brain chimeroid" models. o Advanced Neurophysiology: Assessing functional network activity and synaptic dynamics using
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and will be supervised by: Main supervisor: Dr. Rik Mom, Leiden University https://www.universiteitleiden.nl/en/research/research-projects/science/operando-research-in-electrochemistry Co-supervisor: Dr