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and structural analysis of heat radiant panels for indoor air treatment. When applicable, this grant also aims at consolidating the scientific training of the grantee, through the development
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, the scholarship holder must make use of knowledge of data modelling, data storage and data processing. Support in the data modelling component, for the definition of the Domain Reference Model, is required. Work
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: • Have knowledge of data processing and analysis technologies. b) Preferential Factors: • Knowledge of programming languages for data analysis (e.g., R, Python); • Knowledge in Artificial Intelligence
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from academic degree recognition processes. Specific Requirements - Knowledge acquired during academic training or education in: (i) database management; (ii) analysis of dietary data; (iii) experience
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admissibility requirements: mandatory requirements: Knowledge of data analysis and exploitation. preferential factors: Knowledge of learning and knowledge extraction; Knowledge of Artificial Intelligence and
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year or its duration (star and term). Candidate admissibility requirements: mandatory requirements: Knowledge of data analysis and exploitation. preferential factors: Knowledge of learning and knowledge
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achieved: The work plan is included in the GreenAuto Agenda - WP6: I&D and industrialization of steering wheels with HMI, with particular focus on the following aspects: 1. Analysis and design of device
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; development of design solutions for an analysis support that allows direct contact with the skin; and preparation of technical-scientific reports. 5.Applicable legislation and regulations: Research Fellowship
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have consolidated knowledge in: - Proven experience in Knowledge Extraction from Data (i.e. data analysis, data pre-processing); - Proven experience in C# and/or Python programming languages; - Good
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degree integrated into the educational project of a higher education institution, with a master's degree in Engineering Project Management or in related areas, with skills in analysis and evaluation