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The Faculty of Agriculture and Forestry invites applications for the position of University lecturer in Systems modelling and simulation, from 1.5.2026 onwards or as agreed. The permanent position
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of the project is to design, model and simulate neural networks based on magnetic skyrmion nucleation and propagation. The second objective is to fabricate these hardware neural networks, characterize
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, the primary unit of chromatin, using classical all-atom molecular dynamics simulations. The nucleosome is composed of a double-stranded DNA fragment wrapped around a protein core consisting of eight histones
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) AI, and finally (iii) advanced modelling, simulation and optimisation techniques in a complex uncertain environment for the design of a SAADC. The working approach is based on four successive and
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Your Job: This research primarily seeks to incorporate advanced neuron models, such as those capturing dendritic computation and probabilistic Bayesian network behavior, into unconventional
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 15 days ago
analysis. The goal of this thesis is to advance causal AI for wireless networks by developing statistically reliable causal inference tools grounded in recent advances in simulation-aided inference and model
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rely on the development of models integrating different data sources, initially based on data simulations, consistent with the data sets that are actually available or planned for acquisition, as
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subsidiarity at the territorial scale," specifically through the "materials for energy storage" program. Using molecular modeling tools, the objective is to participate in the design of a single catalyst capable
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Laboratory/infrastructure and Future Engineering Data Hub; contributing to the definition of engineering environments that support modelling, simulation and advanced engineering processes based on shared and
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information at BNL | Benefits Program In this position, you will conduct first-principles simulations and data-driven analyses to understand and design catalytic materials with targeted redox and adsorption