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necessarily require formal education in geotechnics. Applicants with a background in mechanical/materials engineering or alternatively mathematics/computer science with an interest in numerical modelling
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will develop and evaluate new approaches to predicting current and future population exposure to such hazards by combining numerical modelling and remote sensing of river migration, with machine learning
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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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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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/Qualifications - Automation or applied mathematics background, with a strong interest in physical models and numerical method - Analysis of partial differential equations, variational approach, Bayesian estimation
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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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. Desirable Skills (an advantage, not a requirement) Data analysis skills in python. An interest in energy policy / the economics of energy. Numerical modelling. Eligibility This studentship is available for UK
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PHD DEVELOPMENT AND EXPERIMENTAL VALIDATION OF UNDERGROUND SAND-BASED THERMAL ENERGY STORAGE SYSTEMS
mechanical stability. You will support data acquisition and sensor setup for temperature profiling, model calibration and validation. You will apply multi-physical numerical modeling to develop 3D coupled
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I specialise in the numerical modelling of high-energy particle collisions , such as those occurring at the Large Hadron Collider. Accordingly, most projects I offer straddle the intersection
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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