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Field
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NASA, Airbus, and Rolls-Royce – to develop cutting-edge, data-enhanced numerical methods that will transform how future aircraft are conceived and certified. You will work within the PinhoLab (led by
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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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? No Offer Description Context Smart monitoring of mechanical systems (e.g., engineering structures, industrial processes) requires accurate numerical models that can be exploited in real time [1
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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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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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control of turbulent thermal boundary layers. 1-Context Turbulent flows dictate the performance characteristics of numerous industrial equipment and environmental applications. One important consequence
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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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few. In this context, several numerical techniques have been proposed to track the continuous evolution of the binary fluids from an initially immiscible state to the miscible state[1] ,[2] ,[3
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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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developing a digital twin, employing machine learning and numerical computations of atomistic processes. At IKZ, a kinetic Monte Carlo tool has been developed in the programming language julia. This allows a