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Field
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theory/quantum Monte-Carlo. The starting date is in 2026 and is negotiable. We are looking for the researcher with experience in numerical lattice simulations in high energy physics and/or condensed matter
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flows in industrial bioreactors. It aims to use new experimental techniques as well as advanced numerical approaches to improve CFD simulation tools and their application for the scale-up of bioreactors
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Your Job: This PhD project focuses on modelling and simulating future gas grids, exploring transformation pathways, and developing cross-sectoral simulation frameworks to support informed decision
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simulation of time dependent non-linear PDEs has emerged as a key technology. A main task of this employment is the development and analysis of numerical methods for wave propagation problems. Particular focus
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emulator of sea ice dynamics, trained using high-fidelity numerical simulations, (ii) variational data assimilation methods, and (iii) a simplified representation of physical processes in the atmospheric
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Skills/Qualifications The PhD candidate should ideally have a background in engineering sciences, material sciences or physical chemistry. A culture in computer science, numerical simulations and data
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conditions are particularly suitable for detailed comparisons with high-fidelity numerical simulations. Additionally, LEGI lab has a similar reactor to that of LMFL (operational and fully instrumented
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-fidelity experiments (combined particle tracking velocimetry and particle image velocimetry) in a large wind tunnel here at Imperial College London, or high-fidelity numerical simulations. Up to two PhD
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in high-performance computing, numerical simulation Fluent in written and spoken English Independent, analytical, and team-oriented working style You are independent, motivated, and passionate about
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Your Profile: Master`s degree in physics, mathematics or a similar discipline Knowledge of quantum physics Experience in quantum field theory Numerical simulation skills Ability to show initiative and