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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
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operating systems (Windows/Linux) and the use of traffic analysis tools. ✔️ Proficiency in Machine Learning techniques applied to networking is a plus. ✔️ You are curious and creative, demonstrating strong
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frameworks (preferably Pytorch) Use of Linux GPU servers via command line Written and spoken scientific English It would be a plus to have familiarity with: GIS and remote sensing Internal Application form(s
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FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria - Solid knowledge of laser–plasma interaction physics. - Comfortable working in collaborative HPC environments (Linux, SSH, Git
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experience with scientific computing environments (Linux, HPC clusters) are wellcome. Background knowledge in adsorption phenomena, catalysis, or corrosion science is a plus, along with good communication
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Postdoctoral researcher (M/F). Modeling damage during earthquakes. Comparison with geophysical data.
candidate must demonstrate proven skills in digital development (C++, Fortran, Matlab, Python, or equivalent) and be proficient in the Linux environment. Additional knowledge in numerical analysis, continuous