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- l'institut du thorax, INSERM, CNRS, Nantes Université
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Field
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experiments is strongly required Programming expertise in Python and either PyTorch or TensorFlow is required Experience using High-Performance Computers (HPCs) is preferred Ability to model Argonne’s Core
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unique opportunity to work at the forefront of therapeutic genomics, leveraging large-scale functional genomic datasets and cutting-edge computational resources, including university HPC clusters and AWS
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 13 days ago
have access to major national HPC facilities (Grid5000, Jean Zay, GENCI allocations), including large-scale GPU resources. Biomolecular function is driven by both structure and dynamics. Understanding
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Python and either PyTorch or TensorFlow is required Experience using High-Performance Computers (HPCs) is preferred Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork
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. Practical experience in working in R&D projects with companies. Strong Python stack; good software practices (git, testing). Comfortable with Linux/HPC environments. Preferred (nice to have) Experience with
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Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
translation models and medical images analysis are considered important assets. Established expertise in key machine & deep learning frameworks and toolsets. Experience in GPU computing, HPC, Containers & Image
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are looking for highly talented developers with experience and interest in state-of-the-art technologies, high performance computing (HPC), memory management, and dev-ops. You will enjoy being part of a world
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simulation frameworks or HPC/GPU-accelerated ML. Proficiency in scientific software development (Python/ML stack, MATLAB for wireless simulation, reproducible workflows, version control). Strong publication
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interfaces. Programming and HPC: Strong scripting and data analysis skills; experience with high-performance computing environments and job schedulers. Demonstrated ability to work in multidisciplinary teams
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l'institut du thorax, INSERM, CNRS, Nantes Université | Nantes, Pays de la Loire | France | 20 days ago
Devices" ). • Bring various improvements on the synthetic model (vasculature shape / aneurysm / background noise modelling) • Numerical simulations will be performed on a GPU HPC cluster. • Programming in