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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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to “REGULATIONS FOR AWARDING NCN SCHOLARSHIPS FOR NCN-FUNDED RESEARCH PROJECT” https://ncn.gov.pl/sites/default/files/pliki/uchwaly-rady/2022/uchwala124_2022-zal1_ang.pdf Selection process A complete application
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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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Escola Superior de Design, Gestão e Tecnologias da Produção de Aveiro - Norte da Universidade de Aveiro | Portugal | 8 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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maximize conversion performance by optimization of catalyst materials in combination with tuning of reaction conditions and electrolyzer / process engineering. In the research group ELCAT you will be in
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possible during the duration of the scholarship, due to the length of the visa process for some home or host countries. Selection A pre-selection will be conducted based on the submitted application
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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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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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from food industry waste (brewery or coffee) by microwave or conventional pyrolysis and chemical activation; ii) Optimization of the process for incorporating magnetic iron oxide nanoparticles
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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