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. • Strong expertise in the analysis of experimental space data and signal processing. Technical Skills • Proficiency in a scientific programming language (Python or equivalent). • Knowledge of in situ
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analyzing single-cell transcriptomic data using Python. Strong skills in analyzing epithelial tissue dynamics. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR3215-YOHBEL-023
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design, data analysis, and programming (e.g., SPM, MATLAB, Python, R, etc.) Strong scientific writing skills Excellent organizational and communication skills Willingness to work in an interdisciplinary
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learning applied to dynamic systems; Proficiency in key machine learning libraries (PyTorch, JAX, etc.); Mastery of Python and the software ecosystem for scientific data analysis and management (NumPy
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Python and/or SPICE - Ability to transmit knowledge (written/oral) and provide supervision - Sense of confidentiality - Excellent interpersonal skills, autonomy, strong adaptability, and a team player
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profile with advanced skills in: - Numerical programming in Fortran, C, or C++, and Python, - Spectral methods using Fast Fourier Transform (FFT), - Code debugging. He should have a keen interest in
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). Conduct in vivo optical imaging experiments on healthy volunteers and patients; Develop image-analysis pipelines (Python, MATLAB) and model functional optical signals; Optimize and maintain the AO-RSO
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Postdoctoral researcher (M/F). Modeling damage during earthquakes. Comparison with geophysical data.
. Use of digital earthquake models; The code used for calculations is written in Fortran, and the tools for processing input and output data are written in MATLAB and Python. The postdoctoral researcher's
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related), molecular dynamics (GROMACS, NAMD) and docking (VINA and derivatives). - Proficiency in Python and Fortran languages and Bash scripting. - Proficiency in RDKIT and BioPython. - Proficiency in
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transcriptomics data and network-theoretic approaches. - design of a new mathematical method - monitoring and study of publications relevant to the field - programming/coding in Python (Pytorch) - presentation