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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 16 days ago
-pipeline, constituted from the [killMS]( https://github.com/saopicc/killMS ) stage and the [DDFacet]( https://github.com/saopicc/DDFacet ) stage, both developed in particular by Cyril Tasse from the Paris
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for reproducible, efficient and scalable training and inference on parallel, distributed and GPU-accelerated computing systems Benchmark the developed approaches against established methods, assessing
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) or HPC programming (MPI, OpenMP, CUDA, GPU computing) is considered an advantage but is not required Motivation to conduct excellent scientific research and publish in leading international journals
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geoscience and remote sensing methods with AI and advanced computing technologies for Earth observation (EO) applications. Your work will focus on deploying, operating and scaling scientific software
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, microfluidics, laboratory automation, and GPU computing infrastructure. The opportunity to develop AI methods and scientific software that are directly deployed on cutting-edge experimental
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to high-performance computing resources suitable for large-scale machine-learning and foundation-model experiments. Your role We are seeking a highly motivated Postdoctoral Researcher to join the FNR