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of Artificial Intelligence and experience using machine learning and deep learning development environments and libraries is a plus. As set forth FCT Research Scholarship Regulation No. 950/2019 of December 16
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Maria Rocha Durães IV - Work Plan / Goals to be achieved: Perform bibliographic research, laboratory development, results processing and reporting, and participate in the dissemination of results within
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of acceleration areas to enable the development of solar and wind energy, considering a fast track licensing process and different and relevant plans and programmes Work Plan The candidate will carry out research
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Escola Superior de Design, Gestão e Tecnologias da Produção de Aveiro - Norte da Universidade de Aveiro | Portugal | 2 days ago
CICECO - Aveiro Institute of Materials, under the following conditions: 1. Scientific Area: Science and Materials Engineering 2. Financing Source: financed by the European Regional Development Fund – FEDER
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for the piloting, demonstration and scale-up of innovative seaweed/algae-based solutions and ecosystem building. Where to apply Website https://apply.uc.pt/ Requirements Research FieldBiological sciences
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of the state of the art in Human-in-the-Loop solutions in federated environments. 2) Development of a proposal with customized requirements for physical-emotional variables and ethical principles. 3) Development
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 21 days ago
application (https://www.fct.pt/fct-atualizou-o-valor-das-bolsas-para-2025/ ); ii) Curriculum Vitae; iii) academic degree certificate, where applicable; iv) proof of enrollment at an academic degree course
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for Research and Development – Business R&D – Co-Promotion Operations – Other Territories, integrated in the Innovation and Digital Transition Programme Reference: Reference: BI/UTAD/121/2025 Scientific area
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 13 days ago
immunostimulation, with the reference COMPETE2030-FEDER-00790700 (nº 16725), supported by the European Regional Development Fund (ERDF/FEDER) through COMPETE 2030 – Innovation and Digital Transition Programme and by
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Number AE2025-0558 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0558.pdf CALL FOR GRANT