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in several tasks within the project’s work plan, including: - Development of deep learning models (e.g., convolutional neural networks and vision transformers); - Presentation of results at consortium
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Curriculum Vitae shall be structured to separately respond to the different items listed below in IV.2. III.2.2. Career Development plan up to 10 pages, with formatting and font size that ensure adequate
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/ Goals to be achieved: The research grant aims to support the development of research work dedicated to understanding how the rise and decline of technological revolutions, as well as the emergence
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of automatic recognition). Candidates should consult the DGES portal for more information at https://www.dges.gov.pt/en . Only applicants who have completed the cycle of studies leading to a Bachelor’s or
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) assigned under this call will be funded by Fundação para a Ciência e a Tecnologia (FCT), I.P. and the European Regional Development Fund (ERDF) through the Thematic Programme for Innovation and Digital
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hired, and the candidate(s) are exempt from paying the fee until the final ranking. You can find more information at the following link: https://www.uc.pt/academicos/graus/reconhecimentos . III.2.3
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achieved: The research will address the challenges of energy efficiency, demand-side management, and sustainable urban development through advanced modelling and optimisation approaches. It will also explore
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of these activities is for the scholarship holder to develop new knowledge and skills in Artificial Intelligence, with an emphasis on the development of methodologies and techniques in Evolutionary Computation and
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subsequent treatment. Work plan: Development of the decision support system for oncological care. Building the knowledge base, based on rules derived from existing practices. Complementing the recommendations
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], hereinafter referred to as RRCPADCT, as well as further applicable legislation, for the scientific areas of Neurosciences and Brain development, at the University of Coimbra. IN1485 - COMPETE2030-FEDER