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have a decisive impact on performance. The Linux kernel mediates access to these resources through a set of scheduling, memory placement, and migration policies that were designed and configured
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orientation vers les algorithmes - capacité à programmer de manière structurée en C++ et Python - connaissance du système d'exploitation Linux/Unix - bonne maîtrise de l'anglais parlé et écrit - bon niveau de
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: Python, FORTRAN, C/C++ and associated scientific libraries You are familiar with Linux/Unix development and deployment environments, containerization (Apptainer), and, if possible, HPC scientific computing
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deep learning and/or cybersecurity. Prior experience with deep learning frameworks and regular use of Linux environments will be appreciated. We draw your attention to the fact that access
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of programming and operating systems (Python, Arduino, Linux), - Ability to work effectively in a collaborative and interdisciplinary environment, - English proficiency: Applicants must have excellent English
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at least one of these fields is mandatory for your application to be considered. Other valuable skills: Linux environment and HPC software (slurm) Synthesis skills, collaborative, autonomous and curious
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- Proficiency in English (written and oral) Know-how : - Experience in the design and the development of complex software within an international organisation - Very good knowledge in Unix (Mac OS or Linux
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, etc.) and in Machine-Learned Potentials (MLIP) approaches; - Excellent command of Python programming languages (and ideally C++ or Fortran) as well as the Unix/Linux environment; - Good command
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fields : Computer Vision, Machine Learning, Pattern Recognition • Strong programming skills in Python • Good knowledge of Linux tools and environment • Autonomous and rigorous • Curiosity and creative
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with GNU/Linux environment. A good understanding of the basic concepts of genetics and biology is not necessary but welcome. The project will consist in developing un-orthodox Neural Network models with