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Tecnologia I.P. (FCT), as intermediary beneficiary, under the following conditions: Scientific Area: Artificial Intelligence Admission requirements: a) Bachelor degree in Bioinformatics - information available
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candidates holding a PhD degree in Health Sciences, Biomedical Engineering, Data Science, Artificial Intelligence, Psychology, Neuroscience, or related fields, and possessing a scientific and professional
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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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the following terms: . SCIENTIFIC AREA: Artificial Intelligence. . RECIPIENTS: Holders of an undergraduate degree in Computer Engineering or related areas who are enrolled in a master course in Computer
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within the scope of the R&D project AI2PI, Artificial Intelligence to Pedagogical Innovation, reference CIEC-BIL-09-2025-SEP-211051619, financed by European Union, under the Erasmus+ Teachers Academies
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Artificial Intelligence models for the accurate simulation of motor racing and for the generation of suggestions for effective racing strategies. The research fellow will explore different modelling approaches
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. Procedure Reference: IT137-25 -388 I - Legal admission requirements I.I - Grant Recipients: Bachelor’s degree in Informatics Engineering, enrolled in a Master’s program in Artificial Intelligence, Data
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); Development of digital biomarkers that objectively quantify physiological response to stress and levels of resilience. Implementation and validation of artificial intelligence (AI) models that enable
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of LIS ́s researchers, in the framework of Project Ethiack Portal – Platform for Ethical Hacking Automation supported by Artificial Intelligence (CENTRO2030-FEDER-00565200), co-financed by Portugal 2030
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of annotated video expected. This dataset will form a significant basis for the development of artificial intelligence techniques for identifying eight clinical activities based on the recognition of objects