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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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, the University of Aveiro (UA), particularly through its Teaching and Learning Unit (Núcleo de Ensino e Aprendizagem), seeks to identify members of the academic community with innovative practices and disseminate
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
degree in software engineering Have very good English written and oral skills. Have previous research experience, particularly in the domain of machine-learning for power systems, especially
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 7 days ago
learning algorithms to link multispecies dynamics to biological data from invasion scenarios. The project integrates elements from dynamical systems theory, ordinary differential equations, linear algebra
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machine learning. Sense of responsibility and ability to communicate and integrate into multidisciplinary work teams. Financial component - According to the Table, contained in Annex I to the FCT
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internships that will be promoted within the scope of this project at the University of Coimbra and Infarmed. He/she will also acquire skills in preparing reports and other project deliverables. V - Initial
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://doi.org/10.54499/2023.11234.PEX , funded by national funds through FCT/MECI, under the following conditions: Scientific Area: Machine Learning applied in Applied to Fluid Dynamics Simulation Admission
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Escola Superior de Design, Gestão e Tecnologias da Produção de Aveiro - Norte da Universidade de Aveiro | Portugal | 19 days ago
Regulations of the University of Aveiro. 5. Work Plan: This project aims to develop solutions based on Artificial Intelligence for optimizing additive manufacturing processes. Machine learning techniques will
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metrics for determining the output of a machine learning model, capable of assessing the reliability of a given input/output. 2. State of the art regarding non-invasive blood pressure estimation, focusing
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professionals’ benefit from an optimized learning experience, based on digital technologies and simulation methodologies. 5. Applicable legislation and regulations The call and the respective award