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source level with Python and MNE-Python - Pipeline development in Python and MNE-Python - Articles preparation, presentations and workshopsmantenimento di codice open source. The position is hosted
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the preparation of technology transfer and valorization steps. • Software development (Python, PsychoPy, real-time analysis and visualization tools). • Integration of acquisition modules (EEG, fMRI
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). • Advanced quantitative analyses (machine learning, computer vision, multilevel statistics). • Creation and use of Python code for advanced analyses. • Management and monitoring of complex transgenic lines
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knowledge of basic techniques in molecular biology. Working knowledge of R and Python programming environments. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5284-FABLEG-002
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. • PIC simulation codes. • Data analysis using C++/ROOT and/or Python. • Detector simulation using GEANT4. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7638-ARNSPE-001
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in Python, PyTorch/TensorFlow, and medical visualization tools (e.g., 3D Slicer, ITK-SNAP, MONAI...). - Mastery of deep learning platforms Tensorflow/Pytorch/scikitlearn - English: high level Website
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algorithm development and satellite remote sensing • Good written and spoken English • Ability to work independently as well as in a team • Proficiency in programming languages (e.g. Python, R, Fortran
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independently as well as in a team • Proficiency in programming languages (e.g. Python, R, Fortran) Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR8518-MARLIE-021/Default.aspx Work
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quantitative geoscientific data. • Experience with one programming languages e.g. Python, Matlab, R. Critères essentiels : - Être titulaire d'un doctorat en géomorphologie ou dans une discipline étroitement liée
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neurofeedback would be an asset. • Proficiency in data analysis tools (Python, MATLAB, neuroimaging software). • Familiarity with human experimental protocols and clinical best practices. • Knowledge of ethical