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Science, with a solid background in Software Engineering and Distributed Systems. She/he must also have a (very) good knowledge and interest in Cloud/Edge computing. Knowledge in distributed/cloud storage systems
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Post-doctorate position (M/F) : Exascale Port of a 3D Sparse PIC Simulation Code for Plasma Modeling
, vectorization, and GPU porting. - Investigate new programming models to achieve performance portability. - Analyze code performance on various recent CPU and GPU architectures. - Enhance software engineering
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, decarbonization and orchestration. Deploying applications on Edge continuum infrastructures requires the use of various hardware and software components that are distributed across the infrastructures
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photonic chip. Recently, a new type of architecture based on topological photonic crystals has demonstrated almost perfect transmission through waveguides with sharp turns. This feature enables the design
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scenarios for possible « hydrogen » systems in the basin. This will be done using a prototype version of the TemisFlow commercial software developed by IFPEN. - The first part of the work will consist of a
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priorities are bioinformatics, systems security, new software architectures, virtual reality, Big Data analysis and artificial intelligence. With its sights set on the future of information technology and its
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the techniques to other type of datasets. Your role will encompass two key areas of development: 1. Extend and automate the current AI Software Infrastructure o Implement and optimize MLflow for experiment
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Sujet de stage As a member of a multidisciplinary technological research team comprised of experts in software/hardware analyses through the application of formal methods, you will actively contribute
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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the main bioinformatics software and methods (R, Python, Bash). Knowledge on large-scale genotyping/sequencing data analyses. Good level in statistics. Good level of written and oral English. Ease in a