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give rise to it. To achieve this, the project combines numerical simulations and experimental investigations to establish a unified framework linking grain-scale geometry, force networks, and macroscopic
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descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange isotherm parameters directly from molecular properties. These predictions will be integrated
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Position in Theoretical Quantum Many-body Physics and Quantum Sensing at Indiana University Bloomington Fields: Quantum many-body theory, AMO–condensed matter interfaces, advanced numerical simulations
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 1 day ago
given reconstruction (considered as an image) from apriori information (the measured data-set, simulations, map of uncertainty). Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026
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evaluation Knowledge of numerical simulation, for example with land surface or hydrological models Genuine interest in data science and earth sciences Good organizational skills and ability to work both
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, implement, and benchmark numerical algorithms Run and analyze simulations Collaborate across disciplines (e.g., quantum computing, computer science) Contract terms The position is a temporary full-time
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subsequent PhD degree in (astro-)physics, computer science, engineering, or other related fields, with a strong focus on numerical simulations Experience in the development of numerical methods for multi
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University. This will provide plenty of opportunities to master state of the art research-grade lasers and develop applied optics skills, instrument control, numerical modelling and demonstrate fundamental
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contribute to a major research project to improve our understanding of macroplastic pollution in coastal seas. Working at the intersection of numerical modelling and observations, you will develop simulations
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within the last five years • have experience in conducting numerical studies related to the simulation of physical phenomena in photonic and/or optoelectronic devices, with programming skills in Python