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techniques and machine learning algorithms. The goal is to decipher patterns in the bioelectrical signals. Project UID-50008-2025 funded by FCT-Fundação para a Ciência e a Tecnologia. Scientific Area: Basic
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detailed investigation into the applicability and effectiveness of causality discovery algorithms in a context of complex and highly dimensional biological data. By utilizing advanced machine learning
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requirements: Master’s degree in Physics. The candidate must have previous experience with remote sensing data, burned area mapping algorithms and handling large databases. He must also have solid mathematical
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dispatch and source-load coordination. The work involves implementing intelligent algorithms for real-time power arbitration and energy scheduling to balance power flow from diverse sources with fluctuating
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algorithms for anomaly detection and predictive maintenance of subsea structures Duration: 6 months Maximum Duration Including Renewals: 12 months Objectives Development of AI-driven models to identify
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of parameters of the system using machine learning and artificial intelligence algorithms. - Assist the IST research team in the preparation of technical reports, presentations, and meetings, as
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will be responsible for: Implementing state-of-the-art fire spread algorithms in the fire simulator. Designing and implementing data input APIs to feed the fire simulator. Collaborating closely with
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implementation of methods, algorithms, and applications for the Portuguese use case. - Specification and development of the Portuguese pilot implementation. - Active participation in meetings with
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
. The candidate(s) may also be required to apply data fitting algorithms/machine learning algorithms to link models to biological data from the literature. The project integrates elements from dynamical systems
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for planners and public authorities. Accordingly, the work plan includes: 1. Analysis of image databases classified according to the main construction attributes; 2. Development and calibration of AI algorithms