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
-
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
-
Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 23 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
-
, Alberto Jorge Lebre Cardoso IV - Work Plan / Goals to be achieved: Title: Intelligent Systems Architecture and Integration of AI Models in ERP Platforms The N-GenERP project aims to develop innovative
-
, 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
-
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
-
tools and their integration into the matRad treatment planning system; 3) development of tools that automatically identify for each patient the dose-response models that characterize the worst-case
-
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
-
to sign the contract. More information is available on: https://www.dges.gov.pt/pt/pagina/reconhecimento . Workplan and the objectives to achieve: This work aims to develop a numerical approach based on
-
the radiosensitivity of patients. 3) Expansion of the algorithms developed to include fractionation as an optimization variable. Legislation framework: Research Fellowship Holder Statute, in accordance with Law 40/2004