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knowledge and programming skills in Python or similar languages. Language requeriments A high level of English Prior experience Experience in big-data management and analysis, and machine learning. Years
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than a year, related to the tasks to be carried out and to the job profile (sections 2 and 3 of this annex), as well as to: Scientific programming and data analysis in Python and Matlab. Statistical
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positively evaluated. International experience will be a plus. Knowledge of programming languages like Python and/or C++. Knowledge on nonlinear constitutive modelling of solids (damage, plasticity, etc
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imprescindible, se valorará positivamente en el proceso de selección la titulación de Máster y la experiencia/conocimiento en algunas de las siguientes áreas: lenguajes de programación (Python, JavaScript
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Skills/Qualifications A Degree in Mathematics or Informatics. Specific Requirements Python programming skills. Years of Research ExperienceNone Internal Application form(s) needed
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Skills/Qualifications Technical Competences: Programming knowledge: Python, Java, C. Basic principles of databases: SQL, PostgreSQL. Specific Requirements Educational Requirements: Knowledge of systems
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microscopía relacionada con enfermedades globales y manejo de QuPath, ImageJ, R, Python, Pytorch, Tensorflow. Specific Requirements Microscopiy Image processing background Knowledge in métodos estadísticos
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Skills/Qualifications Technical Competences: Programming: Python, Java, JavaEE, JavaScript, R, Android. Machine learning/AI frameworks: PyTorch, TensorFlow. LLMs (Large Language Models): Prompt Engineering
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engineeringEducation LevelBachelor Degree or equivalent Research FieldEnvironmental scienceEducation LevelBachelor Degree or equivalent Skills/Qualifications Technical Competences: Programming: Python and R. Software
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Technical Competences: Programming fundamentals: Python, Java, C, C++. Basic principles in techniques in Machine Learning frameworks: TensorFlow, PyTorch. Basic fundamentals in software engineering tools: MS