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for this grant, a requirement to be duly proven at the time of hiring. Activity Outline: Research activities in the area of applying Machine Learning in the context of Industry 4.0. Study of using Machine Learning
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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 methods
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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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for this grant, a requirement to be duly proven at the time of hiring. Activity Outline: Research activities in the area of Embedded Systems for the execution of Machine Learning algorithms. Legislation and
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duration for this research fellowship type. The fellowship is due to start in April 2025. . WORK PLAN: 1. Analysing the security and privacy risks of machine learning techniques, especially those based
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Computer Science, Electrical and Computer Engineering, or related studies. Technical Skills: Proficient in writing Python code; Experience with, or willingness to learn, microservices and containerization
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Infrastructure? No Offer Description Work Plan: The HyCARE project aims to develop hybrid Clinical Decision Support Systems, that is, with a Rule-Based component and a Machine Learning component. The work to be
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within a Research Infrastructure? No Offer Description Work Plan: The HyCARE project aims to develop hybrid Clinical Decision Support Systems, that is with a Rule-Based component and a Machine Learning
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within a Research Infrastructure? No Offer Description Work Plan: The HyCARE project aims to develop hybrid Clinical Decision Support Systems, that is, with a Rule-Based component and a Machine Learning