Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- FEUP
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Universidade de Coimbra
- Instituto Politécnico de Bragança
- NOVA.id.FCT- Associação para a Inovação de Desenvolvimento da FCT
- University of Trás-os-Montes and Alto Douro
- Faculdade de Ciências e Tecnologia
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Instituto Nacional de Saúde Dr. Ricardo Jorge
- Instituto Superior Técnico
- UNIVERSIDADE DE ÉVORA
- University of Porto
- CENTER FOR TEXTILE SCIENCE AND TECHNOLOGY
- DAAD
- ESS - Escola Superior de Saúde
- INESC ID
- INESC TEC
- Instituto Nacional de Investigação Agrária e Veterinária, I.P.
- Instituto Politécnico de Coimbra
- Universidade do Minho - ISISE
- 10 more »
- « less
-
Field
-
6 Mar 2026 Job Information Organisation/Company Faculdade de Ciências e Tecnologia Department Divisão de Recursos Humanos Research Field Engineering » Computer engineering Researcher Profile First
-
on the development of methodologies and techniques of Evolutionary Computation and Machine Learning. V - Initial grant duration: 3 months V.I - Renewal Possibility: Possibily renewable VI - Funding and financial
-
). Reference: BI/UTAD/14/2026 Scientific area/research field: Engineering Researcher profile: First Stage Researcher (R1) Admission requirements: Master's degree in Electrical Engineering, Computer Engineering
-
6 Mar 2026 Job Information Organisation/Company Faculdade de Ciências e Tecnologia Department Divisão de Recursos Humanos Research Field Engineering » Computer engineering Researcher Profile First
-
/sites/45/despacho_8532_regulamento_bolsas.pdf Workplace: Computer and Robot Vision Laboratory (VISLAB) Website for additional job details https://drh.tecnico.ulisboa.pt/bolseiros/recrutamento/ Work
-
–5): selection of relevant climatic variables and application of statistical modelling and/or machine learning techniques to predict risk. 3) Preliminary validation of the predictive model using
-
application of statistical Machine Learning tools. WORK PLAN Collaborate in the following tasks of the project: a) Contribute to the design and development of the Life Cycle Assessment (LCA) system; b) Support
-
a master's degree in Computer Science or related fields1; Be a student enrolled in a doctoral program in Computer Engineering or Computer Science or in an advanced training course - a requirement to
-
to monitoring cracking in concrete bridges and viaducts through computer vision The work is supported by BRISA and will use as case study the viaduct over the Rio de Anços on the A1. Duration: 6 months Maximum
-
: Electrical and Computer Engineering 2. Admission Requirements: - The candidate must hold a Master's degree in Electrical and Computer Engineering or related fields. - The candidate must be enrolled in a PhD