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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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dedicated GPU-equipped computing workstation and data-storage resources; - access to molecular-modeling and chemoinformatics software; - resources for the acquisition and experimental evaluation
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dedicated computing resources (3D visualization workstations, GPU servers). The research will be conducted in close collaboration with Philippe Nghe's team (Laboratory of Structural Cell Biology at École
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 3 months ago
for MPI, GPU architectures, and possibly non-x86 CPU architectures); groundwork on Guix, such as: supporting non-root usage; ensuring adequate continous integration and automation tooling; organizing and