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application! We are seeking a highly motivated PhD student to join a research project at the forefront of battery diagnostics and modelling, that will help shape the future of battery technology by developing
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you often find yourself fascinated by the multiscale complexity of real-world engineering problems? In this project you will develop advanced multiphase transport models for porous systems, bridging
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will undertake doctoral research focused on activity-based travel behaviour, household energy use, and sustainability policy, contributing to the development of causal inference and agent-based modelling
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from BRGM, IFPEN, and INRIA. The objective of this thesis is to develop a thermodynamically consistent model for thermo-hydro-mechanical-chemical (THMC) coupling in porous media under multiphase flow
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project, aims to develop multiscale models spanning from the dendritic scale to the bulk scale to characterize magnetohydrodynamic behaviour under time-varying electromagnetic fields, and to uncover the key
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will focus on the development and application of computational fluid dynamics (CFD), multiphysics modelling, and AI-driven optimisation for RAM systems. These approaches will be used to better understand
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Identifying and validating models for complex structures featuring nonlinearity remains a cutting-edge challenge in structural dynamics, with applications spanning civil structures, microelectronics
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Infrastructure? No Offer Description If you are building your career as a scientist in advanced manufacturing, materials innovation, or data‑driven process modelling – and you are looking for a PhD position where
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models and Bayesian approaches to tackle complex, real-world data? Join this PhD project to build dynamic models and study cognitive variability using ecological momentary assessment (EMA). Join us We are
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skilled and motivated applicants for a PhD scholarship (DC12) focused on the development and validation of a modelling framework to support professionals to choose and advise foods, meals and diets with