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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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systems control Matlab and ROS software instrumentation and mechatronics Ability to work in: Windows Linux embedded systems environments planning and conducting a design of experiments Strong teamwork
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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
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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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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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(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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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