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a leading research center in multiscale models for cardiac electrophysiology, with focus on simulating intracardiac electrograms as an enabling technology for arrhythmia characterization. CaMo@KIT
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AMD using omics data generated within the consortium. The models will then be integrated into an agent-based multi-scale model (ABM) to create a digital twin of the retina affected by AMD, simulating
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involve selecting various event topologies to constrain background and perform detailed study of double-beta decays. GEANT4-based simulations will be used with the software FALAISE developed by SuperNEMO
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on large-scale numerical simulations, instrumented experiments, and onboard robotic data could learn generic representations of local interactions between mobile robots and their environment, enabling
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the OGGM glaciological model for present-day conditions and simulate the recent behavior of selected studied glaciers. • Simulate glacier behavior throughout the Holocene using available climate model
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field) and ground-based (radio) data - Use of various software codes: (i) radio emission simulation code, (ii) solar wind propagation code. - Development of software (preferably in Python) for data
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) describing shell dissolution, from the individual scale to the sediment. • Systematically compare simulations and experimental data to calibrate dissolution kinetics and improve prediction accuracy
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parameters (periodicity, thickness, refractive indices) and material properties to maximize the ultrasonic sensitivity of the sensor. 3. Experimental Validation: Comparison of the predicted simulation
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their understanding, validation, and integration into distributed or embedded architectures. Finally, the developed approaches must be experimentally validated on real-time and HIL/PHIL simulation platforms
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of investigating the relationships between microstructure, processing routes, and thermomechanical performance. The research will combine physics-based modelling and numerical simulations, including thermomechanical