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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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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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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
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information * Applied mathematics, computational physics, or computer science - Strong programming skills (e.g., Python, PyTorch, TensorFlow) - Experience in one or more of the following areas: * Generative AI
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in R or Python, and a motivation to combine rigorous research with social impact. Alongside their independent research, the recruited candidate will work on the economic policy platforms of populist
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ExperienceNone Additional Information Eligibility criteria Python programming. Analysis and development of ML and DL models using standard data science libraries. Data engineering from molecular dynamics
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mathematical problems with equilibrium constraints Knowledge of simulation/modelling and development tools - MATLAB, Python and mathematical programming language Experience with optimisation solvers would be
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to continuously learn new skills, methods and concepts, and 2) to enjoy finding new solutions in the face of new and unforeseen difficulties. The ideal candidate has very good 1) python programming skills, 2
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of Research ExperienceNone Additional Information Eligibility criteria Knowledge in steganography, steganalysis, and generated image detection. Knowledge in image generation. Proficiency in Python. Additional