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statistics and/or machine learning Specific knowledge • Proficiency in scientific computing • Knowledge of machine learning packages in Python or R • Proficiency in English (minimum level B2), as the postdoc
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Experience1 - 4 Research FieldGeosciencesYears of Research Experience1 - 4 Additional Information Eligibility criteria Python programming to automate processing chain Handling optical, radar, and lidar imagery
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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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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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Experience in AI Familiarity with development tools and software environments: Julia, Python Abilities and skills: Ability to work in teams on national or international research projects with academic and
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 10 days ago
. We require good experience in programming (ideally python) and with common deep learning libraries such as PyTorch or TensorFlow. Specific Requirements Motivation, organization, rigor, good
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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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. Knowledge in fluid mechanics would be a plus Proficiency in Python (at least, one among: Julia, Matlab, or R) Knowledge n Fortran (or C) Being comfortable with version control and code sharing tools (git
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Eligibility criteria Strong skills in analyzing single-cell transcriptomic data using Python. Strong skills in analyzing epithelial tissue dynamics. Website for additional job details https://emploi.cnrs.fr
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., Python, R, MATLAB, or similar) are desirable. Ability to work independently as well as collaboratively in an interdisciplinary and international research team. Good command of written and spoken English