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the Linux file system;Extend BPF capabilities if required - Designing and implement benchmarks to evaluate the prototype - Writing a scientific paper to present the results. Where to apply E-mail job-ref
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physics, mathematics, and statistical/AI approaches. • Proficiency in programming (mainly Fortran, Python) and the Linux/Unix environment. • Experience in high-performance computing and large datasets
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Neural Networks, 3) problem solving skills, 4) familiarity with GNU/Linux environment. The project will consist in developing un-orthodox Neural Network models with Pytorch. At least the B2 level of
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learning and/or statistics, Linux Desired skills: strong track record of papers on whole brain modeling, experience working with EEG (and/or MEG), fMRI, MRI + DTI (including tractography), simulation-based
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(Fortran, Python, etc.) with Linux ; - good knowledge of land surface models like ISBA and interest in learning to use permaFOAM - interest for physical and biogeochemical processes in permafrost soils
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Machine/Deep learning and classification Knowledge of the Linux operating system for using a computing cluster Interest in transdisciplinarity and teamwork Autonomy and scientific rigor Website
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. - Knowledge of programming techniques (C/C++, Python, Bash) in a Linux environment. - Knowledge of a version control tool (gitlab). - Knowledge of software architectures. - English (level C1). Skills: - Conduct
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theory (Density Functional Theory, Wave Function Theory) is expected. - Solid experience with the Python programming language and Unix/Linux environment - Good command of scientific English, both written
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or equivalent Skills/Qualifications • General knowledge of computer science and/or engineering • Proficiency in C programming is required. Skills in Linux, microcontroller programming, etc., would be an asset
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/Linux environment; - Good command of scientific English, both written and spoken (certified level). Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7285-CARNOE-068/Default.aspx