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Experience with simulation tools (e.g., COMSOL, FEM, MATLAB, or similar software) Knowledge of optimisation methods, data-driven modelling, or control strategies is advantageous Understanding
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on model approach to improve vegetation’s impact on energy fluxes and related permafrost dynamics improve the process-based fire model SPITFIRE to better simulate fire effects on tundra vegetation and
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to align biological protocols with measurement requirements, and with the modelling PDRA to support model parameterisation and interpretation of simulation results. Maintain accurate experimental records
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in modelling and simulation. The successful applicant will play a key role in teaching and practice-oriented research, with a focus on industry engagement and interdisciplinary applications. In
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methods for multiphase flow models Integrate experimental, pilot-scale, or high-fidelity simulation data into model calibration and validation workflows Design and run numerical simulations of multiphase
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learning models to predict ion-exchange isotherm parametersIntegration of predicted parameters into the CADET chromatography simulation framework Simulation and analysis of batch and gradient elution
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nm optical microscopy." Optics Express 21(22): 26219-26226, 2013. http://dx.doi.org/10.1364/Oe.21.026219 Optics; Semiconductors; Ultraviolet; Electromagnetic simulations; Lasers; Nanoscale
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with sufficient accuracy using fast parametric algorithms and machine learning (ML) models instead of time-consuming simulations to evaluate scenarios for improving the user experience along cycling and
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proceed with the definitionand numerical implementation of the models for the simulation of the magnetic, electrical, thermal, and mechanical behavior of these devices. Appropriate experimental setups will
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compositions of these materials with potential adsorption properties for simulants of toxic agents or catalytic properties of interest for degradation action, a molecular modeling approach based on density