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data in order to identify the different cooling stages and analyse the influence that different parameters may have on heat treatment D. Detailed numerical modelling of the heat treatment process to be
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of Artificial intelligence, Machine learning, Numerical simulation, Formal verification. Such methods include, among the others: AI-guided simulation of the mathematical models of the patho-physiology and PK/PD
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the dynamic rate of mass transfer across the interface. This project primarily consists of theoretical modeling and numerical simulations. However, a strong coupling will be maintained with
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general, and specifically on systems with characteristic nanoscale features. They use finite element and ab initio software as numerical tools for modelling and analysis. We are seeking highly qualified and
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Fully-funded 4-year PhD Studentship (UK Home fee status): Numerical simulation of boiling flows for high heat flux fusion components Aim and Objectives This project aims to develop a high-fidelity
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matrix functions. These computational problems are central to many scientific and engineering applications, including quantum mechanics, materials science, and weather/climate modelling. Numerical methods
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). Additional project costs will also be provided. Overview We are seeking a highly motivated PhD candidate with interests and skills in computational modelling and simulations, fluid dynamics, mechanical
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fields: nonlinear PDEs, functional analysis, numerical analysis, PDE-based modeling and numerical simulations excellent command of the English language ability to teach in German and English We offer
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model tests on granular flows.PhD position 2# is supported by an Advanced Grant of the European Research Council (ERC). The ideal candidate will focus on constitutive modelling and numerical simulations
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generation and evolution under controlled variations in bathymetry and bed roughness, and will also include evaluating and validating existing numerical models, ensuring their reliability in predicting real