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++ or Python). 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation: the first phase comprises the Academic Evaluation (AC), based on the criteria referred to in
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learning, network sciences, Explainability, and network science; Use and programming languages including Python, R, Matlab; Publications in the area of explainability and social network analysis.; Minimum
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energy conversion systems; - Knowledge of Matlab/Simulink numerical simulation tools ; - Knowledge of programming in Python and MATLAB Script ; - Knowledge of programming for microprocessor systems
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study cycle or non-award courses of Higher Education Institutions. Preference factors: Top-level publications Minimum requirements: Good knowledge of Python and Deep Learning; Experience with tensor flow
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courses of Higher Education Institutions. Preference factors: Programming knowledge in C/C++ and Python ROS knowledge Knowledge of locomotion robotics Minimum requirements: Enrollment in an Electrical
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or GitLab platforms; Understanding of open-source licenses and compliance considerations Minimum requirements: Knowledge on scripting or programming languages (Python, Javascript, C++) Experience with Version
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- Past experience (or academic background) with supervised and reinforcement learning - Academic background in operations research - Programming knowledge in Python Minimum requirements: - Previous
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English language.; Experience in research projects.; Experience in science communication.; Experience in writing of scientific papers.; Good knowledge in python programming. Minimum requirements: Average final grade