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Solid skills in statistical modeling & probability theory Experience in coding (Python, R, Julia, Matlab...) Motivation to work closely with experimental researchers Curiosity about biological systems
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Python and Fortran/C. Strong collaborative skills, drive, and independence. Experience and expertise that demonstrate potential to complement and strengthen ongoing research within the department and
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algorithms. The post-doc will carry out theoretical work on causal abstraction and causal alignment, implement algorithms and experimental pipelines in Python/PyTorch, and run experiments on GPU clusters
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well as next-generation ecological models that take uncertainty into account. The https://leca.osug.fr (LECA) is part of the University of Grenoble Alpes and the CNRS in France. Grenoble is located close to
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results Your Profile: A Masters degree with a strong academic background in physics, mathematics, computer science, or a related field Proficiency in at least one programming language (Python, C
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. Your Profile: A Masters degreee with a strong academic background in physics, mathematics, computer science, or a related field Proficiency in at least one programming language (Python, C
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linear algebra, and algorithm design. Proficiency in Python and/or MATLAB; familiarity with numerical optimization libraries and scientific computing. Strong written and oral communication skills; ability
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computing/data/CI environment encompassing all or some of the following: HPC, data science infrastructure and tools/software, and diverse domain science application base. Proficiency in R or Python
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methods of soil characterization, monitoring and management, Organization of field campaigns, data collection and lab work, Spectral data analysis, data processing, and model development, ‘R’, Python
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, Artificial Intelligence, Computer Science, or an equivalent qualification. You have in-depth knowledge of deep learning techniques. You have experience with Python. You have in-depth knowledge of knowledge