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                Field
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                model of high-pressure mechanical seals. Apply Computational Fluid Dynamics (CFD): Simulate gas film flow within the microscopic seal gap. Couple CFD with Structural Models: Study the fluid-structure 
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                ). Background in modeling of dynamical systems and control theory. Knowledge of fluid dynamics and related physical modeling. Strong programming skills (e.g. Python, MATLAB, or similar) for data analysis and 
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                systems and control theory. Knowledge of fluid dynamics and related physical modeling. Strong programming skills (e.g. Python, MATLAB, or similar) for data analysis and model development. Ability to work 
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                flow behaviour, droplet formation, freezing dynamics, and ice crystallisation effects, integrating experimental data to refine predictive models for process performance and construct stability. Task 3 
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                thoroughly analyzed with state-of-the-art theoretical models and published fully open access. The aim of our research is to advance the fundamental understanding of electrical insulation and current 
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                FLOW research group is a young, dynamic group working in the fields of thermodynamics, fluid mechanics, and data-driven modelling. At the Department of engineering Technology (INDI) — Thermo and Fluid 
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                to the active sites within the porous structures. The successful doctoral candidate (DC) will develop a microscopic model for mass transport and reaction in redox flow batteries electrodes. Within this project 
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                transport and reaction characteristics within the microstructure. The successful doctoral candidate (DC) will develop a microscopic model for heat transport and reaction in redox flow batteries electrodes 
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                Perpignan, and will then continue at the LaTEP laboratory in Pau. Doctoral school: ED 305 – Doctoral School of Energy and Environment at UPVD (University of Perpignan Via Domitia). Context In the current 
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                that merge thermo-fluid dynamic laws, deep learning, and experimental data. A central goal is to overcome current limitations in TES operation and optimization, enabling discovery of new high-performance and