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Field
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computational models to simulate and analyze normative behaviors in various contexts. Data Collection and Analysis: Design and implement empirical studies, including data collection, statistical analysis, and
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electric vehicle (EV) charging infrastructure. The selected candidate will contribute to the modeling, simulation, and prototyping of innovative hardware solutions, including harmonic mitigation and thermal
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Transportation Program, aimed at addressing power quality challenges in electric vehicle (EV) charging infrastructure. The selected candidate will contribute to the modeling, simulation, and prototyping
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, molecular dynamics, and machine learning, to model battery electrolyte and solid electrolyte interphase (SEI), while collaborating with experimentalists. Qualifications • Ph.D. in Computational Materials
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field is generated. Using a numerical geodynamo simulation as a benchmark, you will undertake a thorough investigation of both local and global PINN reconstructions of the modelled core using sparse
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to apply advanced AI models in areas such as catalyst design, multi-scale modeling, and spectroscopic analysis. The Research Fellow will take on a significant role in machine learning theoretical energy
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of mathematical models and simulation of industrial Heat Exchanger to be used and deployed within the GEOFLEXHEAT project. This project, coordinated by Brunel, will support all the cross activities occurring during
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The Emerging nanoscience Research Institute (EnRI) focuses its research on advanced materials, computational modelling & simulation and development of small-scale testing and materials
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communities to ensure that all research results are communicated and adopted by communities and/or government. Lead development, simulation and analysis of the multi-strain model Lead calibration of the model
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collaborating with industry partners on a project aimed at developing kinetic Monte Carlo simulations to model epitaxial growth processes. The goal is to control and optimise the growth of nanoscale structures