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Field
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with: 3.1. Experience and training related to the tasks listed in section 2 of this annex, as well as to: Use of languages and tools for the development of AI technologies, mainly Python and its
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; additionally other methods such as simulation-based inference Good computing skills in python and good communication skills in English. What will be your role? The candidate will be expected to play a central
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Science, Chemistry, Computer Science, or related disciplines. Specific Requirements Knowledge and Professional Experience: • Knowledge of programming languages used in data analysis (particularly python) is
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. Knowledge of Python, web scraping, and text analysis would be an advantage. - Flexible, self-motivating, independent and able to manage multiple tasks efficiently. - Proficient in English. - Strong interest
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knowledge of Python. Excellent knowledge of machine learning packages (Scikit, Keras, Pytorch, etc). Competent in the use of HPC systems, virtual machines (OpenNebula) and Grid Containers (Docker, Singularity
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publication track record in international scientific journals Demonstrated experience in ecological or oceanographic data analysis Proficiency in R, Python, Shell script, or MATLAB Experience working with CMIP
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modeling, or data science, or optimization (depending on each position). Software development experience in Python and/or relevant tools in the field. Experience that demonstrates your team-oriented
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-state and dynamic power system analysis and modeling, or data science, or optimization (depending on each position). Software development experience in Python and/or relevant tools in the field
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/transport checks; maintain reproducible pipelines (configs, seeds, provenance). Collaboration and reporting: Work with the PI and team, contribute clean, well-tested Python code, document results, and prepare
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, or a related field. Proven experience in machine learning, deep learning, generative AI and data mining. Strong programming skills (e.g., Python, R, MATLAB, or similar). Experience with data