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Artificial Intelligence (COMPETE2030-FEDER-02202800, MPr-2023-7), funded by the European Regional Development Fund (ERDF) though the “Programa de Inovação e Transição Digital” (COMPETE2030), taking place at
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Agro-Hydro-System", CC 9299", taking place at the R&D unit LEAF-Linking Landscape, Environment, Agriculture And Food, of the Instituto Superior de Agronomia, for the development of the tasks described in
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Algorithmic Categorization”, 2024.07707.IACDC supported by measure “RE-C05-i08.m04 – “Support the launch of a program of R&D projects aimed at the development and implementation of advanced cybersecurity
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. In accordance with paragraph 1 of Article 13 of the RPIUP, in particular, the Entry-Level PhD Researcher shall regularly carry out research and development activities as well as other scientific and
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Investigação e Desenvolvimento da FCT funded by Fundação para a Ciência e a Tecnologia, under the following conditions: WorkPlan: Complete the development of a first-order separation logic framework parametric
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fellow will work on the development of the agent and enhance the existing animations and animation system. An iterative design process involving prototyping cycles, testing, and refinement will be used
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the European Regional Development Fund (ERDF), through the Operational Programme for Competitiveness and Internationalisation (COMPETE 2030), within the scope of Portugal 2030, underway at the Faculty
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related to Computer Science, Machine Learning, Data Science, Information Management or other related areas; Have skills in the development and application of machine learning models in supervised and non
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– PRocedure Optimization and data-driven eFficiency Improvement in healthcare environmenTs" (Ref. COMPETE2030-FEDER-00376900), co-financed by the European Regional Development Fund (FEDER), through
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systems through the writing of research papers as part of the development of national and international projects. Research work should take a multidisciplinary approach, applying knowledge of information