Sort by
Refine Your Search
-
Employer
- FEUP
- University of Trás-os-Montes and Alto Douro
- Associação Fraunhofer Portugal Research
- Faculty of Sciences of the University of Porto
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- COFAC
- Faculdade de Medicina da Universidade do Porto
- Instituto Politécnico de Bragança
- Instituto Politécnico de Setúbal
- Universidade Católica Portuguesa - Porto
- Universidade de Coimbra
- 1 more »
- « less
-
Field
-
Research Studentships (for students of a Master or Integrated Master students) - (BL208/2025-IST-ID)
Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago) Develop reports and technical documents aligned with the project objectives; vi) Collaborate with project partners in joint activities to achieve the established goals; vii) Actively participate in
-
, graduates and external entities); .Drawing up scientific studies in communication and marketing for promoting entrepreneurship in higher education. Assessment and ranking criteria: 6.1 Degree of alignment
-
regulation, evaluating and providing feedback to participants and entities involved in the various project initiatives, monitoring the research project at the University of Coimbra, and the multiple
-
for reference selection and structured extraction; ii) implementation of a new catalog aligned with taxonomies and methods; c) Maintain relevance: update the data model, include emerging pathogens, new food
-
corrosion simulations; Adjustment of simulations for various scenarios, including multiple towers and laboratory models; Analysis of virtual acceleration signals; Processing using artificial intelligence
-
digital content in multiple languages related to the activities of the INOV-NORTE project, contributing to its dissemination; 3) Collaboration in the organization, facilitation, and certification of events
-
datasets based on the empirical data, followed by bioinformatic and statistical analyses of the multiple datasets using various methods for assessing genetic diversity, population clustering, and ancestral