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“New predictive AI/ML solution applied to procurement and production management” (refª COMPETE2030-FEDER- 01474600), IN PROGRESS AT THE FACULTY OF ECONOMICS OF THE UNIVERSITY OF PORTO (FEP) The Faculty
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), for the project “New predictive AI/ML solution applied to procurement and production management” (refª COMPETE2030-FEDER- 01474600), IN PROGRESS AT THE FACULTY OF ECONOMICS OF THE UNIVERSITY OF PORTO (FEP
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), for the project “New predictive AI/ML solution applied to procurement and production management” (refª COMPETE2030-FEDER- 01474600), IN PROGRESS AT THE FACULTY OF ECONOMICS OF THE UNIVERSITY OF PORTO (FEP
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to be developed within the framework of project “RheumaAID – AI-Enhanced Predictive and Proactive Care for Rheumatic and Musculoskeletal Diseases, with Notice No. Fundação para a Ciência e a Tecnologia 04
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, experience and knowledge - In-depth knowledge of statistical mechanics, including the so-called 4th statistical ensemble - Experience in applying Monte Carlo numerical methods Essential skills and abilities
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of Engineering of the University of Porto (FEUP), under the scientific supervision of Dra. Daniela Sofia de Castro Falcão. Grant duration: Initial duration of 6 months, with the predicted starting date in November
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the University of Porto (FEUP), under the scientific supervision of Doctor Maria José Fernandes Sampaio. Grant duration: Initial duration of 9 months, with the predicted starting date in November2025, on
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challenging problem due to the limitations of classical algorithms. These methods often struggle with the complexity and scale of accurately predicting mRNA secondary structures. This pilot research project
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duration: Initial duration of 3 months, with the predicted starting date in November 2025, on an exclusive basis, eventually renewable but never exceeding the end of the project. If the contracting
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Engineeringof the Faculty of Engineering of the University of Porto (FEUP), under the scientific supervision of Professor Bárbara Rangel Carvalho. Grant duration: Initial duration of 6 months, with the predicted