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for Sustainable Development of the Wine Chain in the Northern Region, operation no. NORTE2030-FEDER-01786100, with the financial support of European Regional Development Fund (ERDF) through the Northern Regional
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20th centuries in Portugal and related geographies. The work plan includes: a) Processing documentation relating to the social and political history of the 19th and 20th centuries in Portugal and
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Master’s degree in Computer Science (or a related field), with a grade point average equal to or higher than 14 (out of 20). Applicants must also be enrolled in a Master’s programme in Computer Engineering
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amplifiers; - Evaluating/simulating the electrical behavior of electromagnetic structures; - Behavioral modeling of nonlinear electronic circuits and/or devices; - Application of signal processing tools
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-financiamento/bolsas/ ). The payment will be made by bank transfer. Selection procedure: The curriculum of the candidates will be evaluated (60%) based on the merit of the candidate: a) Academic training (Master
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Escola Superior de Design, Gestão e Tecnologias da Produção de Aveiro - Norte da Universidade de Aveiro | Portugal | 30 days ago
of article 9 of the Scientific Research Grant Regulations of the University of Aveiro. 5. Work Plan: Preliminary technical-scientific study on the by-products generated in the rice production process for
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or a master's degree in the areas of electronics engineering with strong background on: - Electronics (design and analysis); - Signal processing; - Telecommunications basics; - System theory. Additional
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procedure: The curriculum of the candidates (60%) will be evaluated based on the merit of the candidate, and the following factors will be assessed: a) Academic training (Master in Civil Engineering 10 points
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for Sustainable Development of the Wine Chain in the Northern Region, operation no. NORTE2030-FEDER-01786100, with the financial support of European Regional Development Fund (ERDF) through the Northern Regional
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corrosion simulations; Adjustment of simulations for various scenarios, including multiple towers and laboratory models; Analysis of virtual acceleration signals; Processing using artificial intelligence