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) development of multi-physics models in both numerical simulations and analytical calculations, (iii) data analysis by programming, e.g. python and matlab, (iv) help and guide of Ph.D students in the team
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experience in designing and conducting experiments with human participants, as well as acquiring and analysing MEG and/or EEG data, is essential. • Excellent command of Python for scientific computing and
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tools (e.g., Python) and data post-processing tools to analyze simulation results and generate graphs, maps, and diagnostics useful for scientific interpretation. - Unix/Linux: Expertise in Unix/Linux
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- knowledge about python Additional comments NA Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR9189-PATBAS-008/Default.aspx Work Location(s) Number of offers available 1 Company
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of science Years of Research Experience None Additional Information Eligibility criteria PhD in Earth/environmental sciences/remote sensing with applications in AI Linux, Python, good command of
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Information Eligibility criteria Knowledge: signal processing, seismology, microseismicity Skills: working in mountainous terrain, data collection, data analysis (using Python or MATLAB) Interpersonal
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, GROMACS, or ASE), machine learning potentials (MACE), DFT calculations (VASP), programming (Python, PyTorch), and knowledge of nanofluidics, statistical thermodynamics, and data analysis. Website for
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, and disinformation. • Write scientific articles in English and present the findings at conferences and symposia. • Produce, version, and document the Python scripts, Jupyter notebooks, and
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software development - Experience with Labchart++, Matlab, or Python. - Ability to use PowerLab and signal amplifiers. Additional comments For any additional information, you can contact Isabelle
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Proficiency: Excellent command of Python and fluency with the PyTorch framework for developing and adapting neural network architectures. Signal Processing: Solid understanding of signal processing, which