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Field
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mandatory) Interés en modelos generativos (difusión, flows, VAEs, etc.) / Interest in generative models (diffusion, flows, VAEs, etc.) Competencias de programación en Python / Programming skills in Python
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in data analysis in the field of biomedical research (0 to 10 points). ▫ Experience in handling and organizing genetic data (0 to 10 points). ▫ Development of programs in R or Python for research (0
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Schools (or similar training activities) specialized in these fields of at least 30 hours: 10 points each. -- Same as above, lasting at least 15 hours: 5 points each. A.5. Demonstrable knowledge of Python
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LevelBachelor Degree or equivalent Skills/Qualifications Programming in Python and use of AI/ML libraries (scikit-learn, pandas). Proficiency in video and image processing (OpenCV). Knowledge of deep learning
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programming languages: Python, Numpy, Pytorch, Tensorflow. Training or experience in speech and audio processing. Specific Requirements Research experience is desirable. Languages: Spanish and English (C1/C2
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learning tools for analysing healthcare data; Proven competence in mathematics and programming data analysis methods in Matlab or Python. Desirable: An interest in the application area of healthcare
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on advanced modelling Knowledge and experience with the any of the following software: Matlab Python, other Preferred (not all): Knowledge and/or interest on vulnerability identification Experience in
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) Scientific programming (Python, MATLAB, R or similar) LanguagesENGLISHLevelGood LanguagesSPANISHLevelExcellent Research FieldEnvironmental science » Water science Additional Information Benefits Participation
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been opened. The ideal candidate holds a master's-level background in robotics, AI or related fields, with strong Python/C++ skills and experience in machine learning or planning. Experience with ROS2
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Demonstrated experience in statistical analysis of biomedical or clinical datasets Strong programming skills in R and/or Python Experience in data cleaning, management, and integration from multiple sources