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traitement du signal numérique (concevoir et simuler une solution de traitement) • Connaissance des langages VHDL, C et/ou C++ et python- Master in electronic or microelectronic - Knowledge of digital
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Power BI Programming: R, Python, and/or SAS for Statistics Excellent communication skills Demonstrated successful experience working directly with people from diverse backgrounds, including cultural
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scientifique (Python, Matlab - ou autres outils). Une expérience dans la modélisation numérique (différences finies, éléments finis...) est recommandée.Skills in applied physics, non-destructive evaluation
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in support of research hypotheses. Implement and document code in Python (preferred), including data manipulation and estimation routines. Produce tables, figures, and written summaries of results
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to workshops, bootcamps, or similar community training activities. Preferred Experience with statistical inference frameworks for HEP, including Python-based tools such as pyhf, and familiarity with likelihood
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to therapeutic discovery You bring PhD in computational biology, bioinformatics, computer science, or related field Strong coding skills (Python required; ML frameworks preferred) First-author publication(s
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en C, C++, Python, par exempleWe are looking for a motivated and creative candidate with a solid background in statistical physics and an interest in non-equilibrium systems, soft matter and
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Python (obligatoire) - Bibliothèques d'apprentissage profond (comme TensorFlow, Keras, PyTorch) (obligatoire) - Bibliothèques Quantum (Cirq, Qiskit, Tensorflow Quantum. QuTiP) (recommandé) Théorie
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years experience in Statistics/Computer Science/Bioinformatics/Data Specification/ Data Science. Competence with Python for database management and statistical analyses. Experience with using Jupyter
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of new methods Share your expertise in the form of tutorials, presentations, and by being a mentor to more junior members Grow your skills Our software development is essentially conducted in Python and