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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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Information Eligibility criteria * Skills/knowledge: statistical physics, physical chemistry, machine learning * Expertise: molecular simulations, programming experience (Python, C++, Julia, C, etc.), Python
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programming in Python and MATLAB; version control (git) and reproducible workflows. * Experience with MEG/EEG analysis; familiarity with MNE-Python/SPM/FieldTrip; comfort with source reconstruction and signal
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at 900 K) * Developing automated workflows for data acquisition and analysis * Programming in Python and Matlab * Analyzing results and discussing them with the other project partners * Writing scientific
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Eligibility criteria The skills required of the candidate are as follows: • Solid background in astroparticle physics • Strong programming skills, especially in Python • Experience in data processing
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programming languages such as Python, Fortran, C, C++, etc.; statistical physics of liquids, etc.). A good knowledge of spoken and written English is also required. Website for additional job details https
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are looking for a specialist in radiation–matter interactions with proven experience in Monte Carlo simulations and programming in C++ and Python. The candidate will work within a dynamic international
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) - Very good acoustic analysis skills - Good knowledge of speech production models - Very good statistical analysis skills - Good academic English skills (C1) - Very good programming skills (Matlab, Python
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Bayesian statistics, stochastic modeling, and optimization under uncertainty • Proficiency in Python programming • Strong interest in applied and transferable research • Knowledge of industrial simulation
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of experimental statistics, signal processing and excellent programming skills (eg Python, R, ...). Previous experience with model-based fMRI experiments, advanced multivariate data analysis and computational