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SLICES-FR research infrastructure- Communicate results through presentations, conference papers, and project reportsProfile and skillsThe R&D Engineer must already hold a PhD degree in Computer
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heterogeneous architectures, including CPUs, GPUs, and other accelerators, the project seeks to achieve unprecedented efficiency and resolution in plasma simulations. This advancement will enable high-fidelity
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for modern heterogeneous architectures, including CPUs, GPUs, and other accelerators, the project seeks to achieve unprecedented efficiency and resolution in plasma simulations. This advancement will enable
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team and their collaborators in wireless bioelectronics, the goal of this project is to design a wireless architecture and RF circuits that enable backscattering-based wireless biosensing using organic
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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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diseases such as nicotine addiction, schizophrenia or Alzheimer’s disease. Their architecture, allosteric mechanisms and pharmacology have been extensively studied over the last decades. However, the
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Set Architecture (ISA). Durée du contrat (en mois) 24 Description de l'offre Your involvement in this project will facilitate the creation of a predictability toolbox that streamlines the exploration
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as to generate feedbacks from motor action to perception. The evolved agents' behaviours will be compared with the observed behaviours of real ants. The evolved neural architecture will be tuned
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the application architecture of Edge-Cloud continuum infrastructures - Propose and experimentally validate energy metrics for resource management in Cloud environments - Discuss with the IPCEI-CIS E2CC project
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previously unknown gene functions. The work will be primarily computational, focusing on the development of deep neural network model architectures and their training. It will involve extending the preliminary