Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Universidade de Coimbra
- INESC ID
- INESC TEC
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Centro de Engenharia Biológica da Universidade do Minho
- Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S)
- Instituto de Telecomunicações
- LNEC, I.P.
- Universidade de Aveiro
- FCiências.ID
- Fastprinciple,lda
- Instituto Pedro Nunes
- Politécnico de Leiria
- Universidade do Minho
- Universidade do Minho - ISISE
- University of Algarve
- University of Minho
- 7 more »
- « less
-
Field
-
of the Grant are:; 1) To apply machine learning algorithms for the diagnosis of faults and malfunctions in photovoltaic plants, using data from SCADA systems combined with synthetic data from digital twins (DT
-
Engineering/ Electrical Engineering. 2. Admission Requirements: Bachelor's degree in Computer Engineering, Systems and Information Technologies Engineering, Electrical and Computer Science Engineering, or in a
-
Collaborate in the use of remote sensing and machine learning methods to detect A. longifolia and to monitor the spread and effects of the biological control agent (occasional collaboration). Activity 4
-
machine learning, particularly convolutional neural networks (CNN) and siamese networks; English language proficiency. Requirement for granting the fellowship: The applicants may apply without prior
-
, of 28 of August, and also the provisions of article nº 9 of the Scientific Research Grant Regulations of the University of Aveiro. 5. Work Plan: Intelligent and modular controller with machine learning
-
of article nº 9 of the Scientific Research Grant Regulations of the University of Aveiro. 5. Work Plan: Intelligent, modular battery with machine learning algorithms. The aim is to develop a high-performance