33 machine-learning-"https:" "https:" "https:" "RAEGE Az" Fellowship positions at University of Minho
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Engineering, Biomedical Engineering, Information Systems, Artificial Intelligence or related areas that demonstrate a solid computational base; Candidates enrolled in a non-degree course: Candidates who exceed
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, at the time of application, a bachelor's degree in Computer Engineering, Biomedical Engineering, Computer Science, Artificial Intelligence, Data Science or related areas that demonstrate a solid
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Reinforcement Learning to develop a balance recovery control system; v) overall coordination of research activities and management of possible deviations from the project work plan and resources. The work plan
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: Industrial Electronics and Computer Engineering - Control, Automation and Robotics Recipient category: Masters, enrolled in the course: Non-conferring degrees courses: is intended for R&D activities by
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of Scholarships https://www.fct.pt/wpcontent/uploads/2022/03/Normas_de_Atribuicao_de_Bolsas_2021.pdf and the draft contract in Annex II of the University of Minho's Scientific Research Scholarship Regulations
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https://www.fct.pt/wpcontent/uploads/2022/03/Normas_de_Atribuicao_de_Bolsas_2021.pdf and the draft contract in Annex II of the University of Minho's Scientific Research Scholarship Regulations
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conclusions, limitations and suggestions for future research, aiming at the consolidation of AMALIA as a support for teaching and learning in Portuguese schools. Contribute to the writing of scientific articles
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. To prepare a report with conclusions, limitations and suggestions for future research, aiming at the consolidation of AMALIA as a support for teaching and learning in Portuguese schools. Contribute
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teaching path to the individual needs of each student. The scientific work to be developed consists of: Framework and Objectives:Monitor the progression of learning and detect the level of proficiency
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architectures and technologies for artificial intelligence., with a weighting of 50% The final classification of the candidate's merit will be obtained by applying the following formula: MC = (A.1 x 0.6) +(A.2 x