29 machine-learning "https:" "https:" "https:" "https:" "The Open University" positions at Universidade de Aveiro in Portugal
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-Campus Universitário de SantiagoGeofield Contact City Aveiro Website http://www.ua.pt Street Campus de Santiago Postal Code 3810-193 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More
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(Legal regime of recognition of academic degrees and diplomas of higher education awarded by foreign higher education institutions) (available at https://www.ua.pt/en/sgrh/bolseiros ). 7. Place of work
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, of 28 of August, and also the provisions of article nº 9 of the Scientific Research Grant Regulations of the University of Aveiro. 5. Work Plan: Intelligent and modular controller with machine learning
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of article nº 9 of the Scientific Research Grant Regulations of the University of Aveiro. 5. Work Plan: Intelligent, modular battery with machine learning algorithms. The aim is to develop a high-performance
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diplomas of higher education awarded by foreign higher education institutions) (available at https://www.ua.pt/en/sgrh/bolseiros ). 7. Place of work: the work will take place at School of Design, Management
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Requirements: Applicants must be enrolled in a Master’s Degree in Computer Engineering or related fields. Proof of enrolment must be provided by the time of contracting. However, candidates may initially submit
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: Applicants must be enrolled in a PhD programme or in non-degree courses integrated into the educational project of the University of Aveiro, holding a Master’s degree in Computer Engineering or related fields
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Adultos measure (RE-C06-i03.03/2021) of the Recovery and Resilience Programme, coordinated by the Teaching and Learning Centre (Núcleo de Ensino e Aprendizagem), under the following conditions: 1
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version: https://www.ua.pt/pt/noticias/0/93133 Where to apply E-mail recr-agendasprr@ua.pt Requirements Research FieldEngineering » Computer engineeringEducation LevelBachelor Degree or equivalent Research
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Machine Learning model will be developed, capable of adjusting the electric assistance to optimise the balance between performance and consumption. Finally, the system will be validated with a real e-bike