Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Minho
- INESC TEC
- INESC ID
- Instituto Pedro Nunes
- FCiências.ID
- Universidade de Coimbra
- Politécnico de Leiria
- FEUP
- Faculdade de Ciências e Tecnologia
- Institute of Systems and Robotics, Faculty of Sciences and Technology of the University of Coimbra
- Institute of Systems and Robotics-Faculty of Sciences and Technology of the University of Coimbra
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial
- Research Centre on Child Studies
- Universidade Católica Portuguesa - Porto
- University of Algarve
- University of Aveiro
- 6 more »
- « less
-
Field
-
implementation of advanced systems in cybersecurity, artificial intelligence, and data science in public administration, as well as a scientific capacity-building programme”, within the funding agreement signed
-
) project aims to develop a system based on artificial intelligence (AI) and computer vision for the automatic detection of REM sleep behavior disorder (RBD)-specific behaviors in polysomnography (vPSG
-
, artificial intelligence and data science systems in public administration, as well as a scientific capacity-building programme”, within the Recovery and Resilience Plan (PRR), through the Recovery Portugal
-
Tecnologia I.P. (FCT), as intermediary beneficiary, under the following conditions: Scientific Area: Artificial Intelligence Admission requirements: a) Bachelor degree in Bioinformatics - information available
-
ATTRACT-DIH 1 Research Fellowship(s) (BI) is(are) open at the FCiências.ID – Associação para a Investigação e Desenvolvimento de Ciências, for the project “ATTRACT - Digital Innovation Hub for Artificial
-
Communications Research Centre, project EPROCESS EXTENSIONS financed by the Polytechnic of Leiria, in the following terms: . SCIENTIFIC AREA: Enterprise Architectures and Artificial Intelligence. . RECIPIENTS
-
conduct biomechanical studies to investigate biomechanical responses to slips; iii) development of artificial intelligence tools for detecting slips and early signs of falls, with a focus on optimizing
-
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
-
on the development and implementation of advanced systems in cybersecurity, artificial intelligence, and data science in public administration, as well as a scientific capacity-building programme”, within the funding
-
programme of R&D projects focused on the development and implementation of advanced systems in cybersecurity, artificial intelligence, and data science in public administration, as well as a scientific