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Post-doctorate position (M/F) : Exascale Port of a 3D Sparse PIC Simulation Code for Plasma Modeling
to exascale architectures an initial 3D simulation code developed as part of previous work [1]. This work will initially focus on scaling up (distributed memory), optimizing CPU algorithms (vectorization) and
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signals, allowing 'predictive coding', would come from, among other things, the frontal areas (but also other associative areas) and would primarily reach the sensory cortex. Our team has shown in several
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: The impact of coding on neurodiverse learners" (BriGa), funded by the André Losch Fondation. The BriGa project aims, in collaboration with the Luxembourg Tech School (LTS), to further develop their existing
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, but are not limited to, neural coding in the visual cortex, multimodal information processing, state-dependent processing, visual perception, development of imaging tools for in vivo neuronal recordings
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The recruited engineer will be co-supervised by MdS and Joliot to implement this new approach. To achieve a portable, efficient code that fully exploits GPUs, the core of the code will be developed
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understanding of how neural coding and speech perception are degraded in individuals with Auditory Neuropathy Spectrum Disorders (ANSD) [1]. The project leverages physiologically-informed computational models
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: - reading and understanding theoretical physics articles, in particular with a view to deriving equivalent computer algorithms - develop and/or adapt a physical modem and/or a Monte Carlo type code in
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Description of the offer : Magnetism intervenes in the data storage components, with information coded by the magnetization direction of submicronic magnetic domains. The calculations are instead
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to analysis by magnetic microscopy. To achieve this, it is necessary to bring together, make compatible and carry out the calibration between different existing codes that are used during the key stages
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aims to develop a novel high-performance Particle-In-Cell (PIC) code for plasma physics simulations, leveraging the capabilities of exascale computing systems. By optimising PIC algorithms for modern