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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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using Docker and Python for automated ingestion, transformation, and delivery of data. Maintains data warehousing solutions, including DataVault 2.0, to ensure efficient, scalable data storage and
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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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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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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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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
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high-performance computing (HPC), containerization, workflow orchestration (e.g. nextflow), and next-generation file formats (e.g. Zarr). Your work will primarily be conducted in Python. You will also
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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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of hands-on experience with programming languages like Python/Java. 3+ years of experience building high-throughput and scalable RESTful APIs using Python frameworks (such as Flask, FastAPI, etc) 3+ years