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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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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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quality of the 3D prints. ? Use metrology systems (e.g., laser trackers, CMMs, etc.) for establishing reference measurements. ? Use analysis software (e.g., Python, MATLAB, Spatial Analyzer, Polyworks
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, quantitative analysis, performing medium-scale microscopy experiments, Python or Matlab programming, synthesizing information from the published literature, and use and development of machine learning algorithms
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. Experience with programming languages such as R, Python, Perl or equivalent. Experience working in a UNIX/Linux environment. At least one year of programming or bioinformatics experience. Strong written and
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Wyższa Szkoła Informatyki i Zarządzania/Univeristy of Information Technology and Management | Poland | 8 days ago
(Bachelor’s degree / Engineering degree), preferably in Computer Science, Management, or Economics Proficiency in Power BI and programming languages such as R and Python Strong analytical skills, with
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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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least 4 years of relevant professional experience. 2. High proficiency in R or Python, with at least a basic knowledge of both. 3. Familiarity with the Linux environment and command-line tools. 4