Sort by
Refine Your Search
-
Employer
- Instituto Pedro Nunes
- FCiências.ID
- Politécnico de Leiria
- FEUP
- 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 de Coimbra
- University of Minho
-
Field
-
Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 28 days ago
following conditions: Scientific area: Industrial Engineering and Management Work plan: Research in Last Mile (routing models, simulation, and Artificial Intelligence). 1. Duration and Terms: Duration of 12
-
at the development and implementation of advanced cybersecurity, artificial intelligence and data science systems in public administration, as well as a scientific training programme", of the "Recovery and Resilience
-
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
-
. This recommendation system should be designed based on current machine learning and artificial intelligence strategies, allowing it to adapt to each user's profile and the different types of data collected by
-
diplomas, if applicable. Enrolment in master. Work plan: This project aims to develop an artificial intelligence model with convolutional neural networks (CNN) trained on orthorectified aerial imagery and
-
Communications Research Centre, project EPROCESS EXTENSIONS financed by the Polytechnic of Leiria, in the following terms: . SCIENTIFIC AREA: Enterprise Architectures and Artificial Intelligence. . RECIPIENTS
-
Tecnologia I.P. (FCT), as intermediary beneficiary, under the following conditions: Scientific Area: Artificial Intelligence Admission requirements: a) Bachelor degree in Bioinformatics - information available
-
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
-
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
-
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