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, perfluorosulfonic acid polymer membranes, such as Nafion, dominate commercial devices. Despite their success, these membranes suffer from several intrinsic limitations, including high material cost, reliance
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numerical modelling, simulation, optimization, control, or engineering-data analysis. Good programming skills in Python, MATLAB/Simulink, or a comparable scientific computing environment. A fundamental
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/en/apply/application/language-requirement/english… ) Passport copy Academic text (max 7000 words) Aptitude test or sufficient GPA (see requirements at: https://www.hanken.fi/en/apply/application/phd
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
Foundation Model for Continuum Dynamics*. November 19, 2025. https://doi.org/10.48550/arXiv.2511.15684 Cranmer, Kyle, Johann Brehmer, and Gilles Louppe. *The Frontier of Simulation-Based Inference*. Colloquium
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thermodynamic framework capable of simulating chloride penetration, interaction with cement hydration products, and changes in pore solution chemistry over time. Experimental chloride concentration profiles
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-on experience in at least one relevant area, such as materials characterization, electrochemistry, polymer materials, electrode processing, or battery-related experimental work. Applicants who do not yet have the
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the position We are seeking a highly motivated PhD candidate to investigate cascading cyber effects, cyber resilience, and advanced cyber range modelling. The research combines simulation, software
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numerically assess the performance via software simulation tools. Define the system specifications which will be then translated into requirements for the design and implementation of the photonic WDM switch
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developing simulation flows, analysis methodologies, and predictive models that enable Design-Technology and System-Technology Co-Optimization (DTCO/STCO) studies for future systems. You will work closely with
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limited, noisy, and low-resolution measurement data? In this project, you will develop a novel physics-informed machine learning approach that integrates physical simulations of the measurement process with