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artificial intelligence-based algorithms to optimise operation and predict anomalies in water distribution networks. The algorithms developed should identify patterns and anomalies that indicate the presence
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, design, implement, and validate an optimization system for scheduling group classes within the Koachy platform. The specific goals include: Develop attendance prediction models for different types
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) Perform predictions, create baselines and develop AI services (including generative AI and Foundational Models) applied to Energy consumption in the domestic and industrial segment.; 3. BRIEF PRESENTATION
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of Código dos Regimes Contributivos do Sistema Previdencial de Segurança Social, and the contributions costs will be supported by the research project. Predicted start date, duration and renewal conditions
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of Engineering of the University of Porto (FEUP), under the scientific supervision of Professor Vera Lúcia Miguéis Oliveira e Silva. Grant duration: Initial duration of 3 months, with the predicted starting date
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of the Faculty of Engineering of the University of Porto (FEUP), under the scientific supervision of Professor Vera Lucia Miguéis Oliveira e Silva. Grant duration: Initial duration of 3 months, with the predicted
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and Doctor Ana Rita Lado Teixeira Ribeiro. Grant duration: Initial duration of 4 months, with the predicted starting date in September 2025, on an exclusive basis, eventually renewable but never
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plan: The work consists of developing models for the prediction of biological control agents (BCAs), using different approaches: Machine Learning (random forests, support vector machines, lasso), Deep
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 16 days ago
). Develop an accompanying uncertainty‑quantification (UQ) layer on top of EM to produce calibrated credible/prediction intervals. Train, validate, and stress‑test on ECoG data, benchmarking against
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Institute of Systems and Robotics, Faculty of Sciences and Technology of the University of Coimbra | Portugal | 3 days ago
. Implementing real-time data processing for dynamic updates of the Digital Twin. Using Artificial Intelligence for predictive analysis of wildfires. Designing user-centered decision-support tools to assist