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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
inform observable macroscopic properties as part of the activities of the UNC Superfund Research Program (SRP) (https://sph.unc.edu/superfund-pages/srp/). This work involves running, developing, and
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modeling of polymeric, reinforced, and porous materials, with strong expertise in large deformations and numerical homogenization. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7649-JULDIA
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Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Duties 55%: performing high level experimental, theoretical, and numerical research and data analysis 20%: presentation
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to the processing of personal data for the purposes of the competition https://wppt.pwr.edu.pl/pracownicy/konkursy/wymagane-dokumenty-konkurso… (At the moment of employment) Copy of PhD degree diploma or confirmed
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theoretical models and numerical tools (master equations, quantum trajectory simulations) to investigate coupling regimes, dynamical phase transitions, and the effects of collective dissipation on coherence and
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of particle-handling systems for the space environment, including the development of robust design criteria · Couple physics-based models and numerical simulations with optimization algorithms
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experimental testing with complementary numerical simulation to generate insights for infrastructure and energy applications. The Post-doctoral Associate will be expected to: Design, implement, and analyze
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efficiency (e.g., arXiv:2411.00944). Main responsibilities: Designing independent research projects; Developing and performing analytical calculations and numerical simulations; Coordinating collaborations
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 21 days ago
investigations focused on spin dynamics, · Perform numerical simulations to study: - ultrafast magnetization phenomena, - interactions with surface acoustic waves, - propagation of sound waves in the presence of a
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quantification of pigments and binders. The work will include the generation of simulated spectral data based on physical models, the training and optimization of machine learning models, and their validation