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in Computer Engineering or related areas; Knowledge of the development of automatic [deep] learning and information visualization applications; Experience in the use of algorithms and data analysis
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in Computer Engineering or related areas; Knowledge of the development of automatic [deep] learning and information visualization applications; Experience in the use of algorithms and data analysis
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factors: - Completion of curricular units in Machine Learning and Deep Learning - Experience, at the level of preparatory research work f or obtaining the Master's degree in Computer Engineering, in Medical
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Learning and Deep Learning - Experience, at the level of preparatory research work for obtaining the Master's degree in Computer Engineering, in Medical Large Language Models Additional Information Benefits
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Learning and Deep Learning - Experience, at the level of preparatory research work for obtaining the Master's degree in Computer Engineering, in Medical Large Language Models. Additional Information Benefits
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area); 3.º - Experience in developing research work on the topics: Human Robot Interaction (HRI), Human Activity Framework (HAF), Artificial Intelligence mechanisms such as Neural Networks, Deep Learning
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of material properties, machine learning (including deep learning), or a combination thereof, will be analyzed for the detection, classification and quantification of defect/damage types. -Evaluation of defects
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Science, Statistics, Computer Engineering, or related areas; Solid knowledge of programming, particularly in Python; Knowledge in Artificial Intelligence; Knowledge in Machine Learning and Deep Learning