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research project with Principal Investigator (PI), Co-PI and the research team members to develop an onboard microgrid simulation model with energy management. Work with research team to deliver the work
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. This also includes using AI-based modelling, learning-enhanced co-simulation, and predictive analytics to improve the fidelity, automation, and scalability of quantum communication security evaluations. Key
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safer, more efficient, and sustainable mixed-traffic future. Key Responsibilities: Design and conduct driving simulation experiments for risk scenario analysis. Develop deep learning models, such as GNNs
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experimental research on the nonlinear dynamics of ultrafast fiber lasers. Design and implement fiber laser cavities for the generation of ultrashort pulses. Develop and validate simulation models (e.g., using
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the performance of floating structures. Analyze hydrodynamic behavior of floating breakwaters under varied sea conditions. 2. CFD and Finite Element Modeling Perform Computational Fluid Dynamics (CFD) simulations
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in the development, validation, and optimization of 3D-printed Ship Hull and Connector System. This includes conducting finite element modeling, ship resistance and stability assessments, as
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term contract. This role will entail simulating the distribution of radiatively active aerosol tracers injected into the stratosphere within the Whole Atmosphere Community Climate Model (WACCM). Working
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programming such as Python, R, MATLAB, or other similar programs and experience in using simulation/optimisation models and advanced data handling techniques e.g. machine-learning techniques, statistics
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geometry modelling, finite element simulation, optimisation, and will explore the opportunities for AI to enhance the digital design process. The role holders will carry out analyses, critical evaluations
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funded by the EPSRC and a consortium of industrial partners, focussing on developing predictive models for predicting the drug release profile of an immediate release tablet in simulated gastrointestinal