Sort by
Refine Your Search
-
Category
-
Employer
- Universidade de Coimbra
- Instituto de Telecomunicações
- FCiências.ID
- INESC ID
- Associação Universidade-Empresa para o Desenvolvimento - TecMinho
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Centro de Engenharia Biológica da Universidade do Minho
- INESC TEC
- Instituto de Engenharia Mecânica
- National Laboratory of Energy and Geology
- Politécnico de Leiria
- Universidade do Minho
- University of Algarve
- 3 more »
- « less
-
Field
-
Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 22 days ago
, financed by EU and national funds through FCT/MCTES (PIDDAC Workplan: Machine learning algorithms, in particular deep learning ones, suffer from the phenomena of catastrophic forgetting, which hampers
-
of Electrical Engineering or related areas. - In addition, the candidate should demonstrate solid knowledge in electric power systems and in the development of optimization algorithms and intelligent systems
-
Engineering or related fields. - A solid background in electric power systems is required, as well as experience in the development of optimization algorithms and intelligent systems. - The ability to apply
-
, particularly Python; (ii) use of parameter optimization algorithms, particularly PEST and PEST++; (iii) remote sensing applied to the water cycle; and (iv) application of machine learning techniques to spatio
-
models; Participation in the implementation and execution of laboratory tests for validation of the platform's algorithms, interfaces, and subsystems; Support in the analysis of experimental results and in
-
validation of artificial intelligence models. Support in the acquisition and management of data collected by the group in a clinical or laboratory setting. Experimental evaluation of algorithms, development
-
of uncertainties in robust evaluation and optimization algorithms. Legislation framework: Research Fellowship Holder Statute, in accordance with Law 40/2004, of 18 August, in its current version and the FCT
-
developed involves continuous analysis of the state of the art, the definition and specification of technical and functional requirements, as well as the design of data models, synchronisation algorithms and
-
-inspired selection). 3-Investigate the integration of QIEC with Quality-Diversity (QD) algorithms such as MAP-Elites.(month 2-3) 4-Explore the use of Evolutionary Computation to generate and optimize quantum
-
algorithms for Robust Relative Biological Optimization, considering uncertainties in the parameters of dose-response models. Finally, the aim is to o assess the potential of fractionation optimisation in