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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 13 hours ago
simulations and to predict communication patterns within macromolecular complexes. The project is embedded in a collaborative environment with regional and international partners, offering complementary
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, validated against high-fidelity simulations. -Phase 3 (Months 18-36): Development of reduced-order models integrating control effects, validated against simulations and IUSTI experimental data. -Means
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experiences 19. Stays current with the science of simulation and brings innovation to learner experiences. 20. Models professional standards, including customer service, collaboration, communication, excellence
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mathematical modelling and machine learning both using simulated and real data. The main duties involved in a post-doctoral position is to conduct research. Teaching may also be included, but up to no more than
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the aim of producing applications with a significant economic and social impact. Where to apply Website https://trasparenza.uniroma1.it/ Requirements Additional Information Eligibility criteria Eligible
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the following domains : - Applied physics (insulating materials, thermal transfer, fluid mechanics, modeling...) - Instrumentation, basic electronics - Notions on simulation using numerical methods Additional
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the mechanisms of sorption and diffusion; (iv) to establish relationships between molecular structure and adsorption properties; and finally (v) to combine experiments and simulations to predict the performance
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on simulating nanoalloy structures to create a database for materials characterization. The main tasks include running molecular dynamics and Monte Carlo simulations to model nanoalloys under various
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NEST: https://nest-simulator.readthedocs.io Your tasks in detail: Work with the NEST main code base and experimental branches Dissect the spiking network simulation cycle into phases and capture the flow
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simulations will be compared with simplified theoretical approaches, such as rate-and-state models describing the seismicity evolution of a population of secondary faults surrounding an aseismically slipping