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We are looking for a co-design engineer for future computing architectures in HPC. This position, in a fixed-term contract, is based at the Nano-Innov site of Paris-Saclay, Essonne (91). As part of
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inference. For Position 1, experience with LSS simulations and analysis, and ideally galaxy redshift surveys and HPC. For Position 2, experience with gamma-ray data analysis and its astrophysical
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acquired in situ during UXO disposal campaigns. This multidisciplinary project gathers experts in underwater acoustics, seismology, geology, and HPC modeling, from 3 French partners, namely Quiet-Oceans (PI
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architectures. Knowledge of job scheduling tools such as Slurm or PBS for submitting and monitoring large-scale simulations. - High-Performance Computing (HPC): Proficiency in high-performance computing to run
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heat transfer processes Use of advanced numerical methods (CFD, LBM, hybrid models) Utilization of high-performance computing (HPC, GPU) Analysis and validation of numerical results Optimization
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into robust, maintainable analysis tools and pipelines Implement and optimize large-scale deep learning workflows on GPU-enabled High-Performance Computing (HPC) environments Prototype using emerging computer
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modelling activity. Demonstrated expertise in finite-element methods or related numerical techniques. Experience in code development, HPC architectures, and parallel programming is highly desirable
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with national/international collaborators from the ODUST consortium. • Access to HPC resources (e.g., IDRIS) for large-scale simulations. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5299
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or she will design and implement databases dedicated to the storage, annotation, and analysis of viral sequences, ensuring their interoperability with remote systems (secure servers, HPC clusters
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computational resources. At IP2I, dedicated scientific computing infrastructures, including CPU and GPU clusters, HPC facilities, and big-data environments, are available for large-scale simulations and data