Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- University of Algarve
- FCiências.ID
- University of Beira Interior
- Centro de Estudos Sociais da Universidade de Coimbra
- Universidade do Minho
- University of Minho
- Centro de Astrofisica da Universidade do Porto
- Centro de Engenharia Biológica da Universidade do Minho
- FEUP
- INESC ID
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial
- Instituto de Sistemas e Robótica (ISR)
- NOVA.id.FCT- Associação para a Inovação de Desenvolvimento da FCT
- Universidade Nova de Lisboa
- University of Aveiro
- 5 more »
- « less
-
Field
-
the European Union through the COMPETE 2030 Programme, of Portugal 2030, under the following conditions: Scientific Area: Machine Learning Admission requirements: Candidates who cumulatively meet the following two
-
teaching and learning tools; the organization of curriculum materials; the organization of project’s internal meetings and the preparation of necessary administrative tasks; all other tasks required
-
and sustainability; Investigate and apply artificial intelligence and machine learning techniques, including large language models (LLMs), across CENSE’s scientific body in its five thematic areas
-
application d) Previous experience with computational modelling and machine learning. Additional optional skills and qualifications: Experience with Soft and Living Matter. Contracting requirements
-
its currenting word. https://diariodarepublica.pt/dr/legislacao-consolidada/lei/2009-34546475 DURATION Maximum period set for this type of contract – 4 years. WORKPLACE INESC ID Headquarters Rua Alves
-
Science or related areas Admission requirements: Knowledge in Computer Science Additional optional skills and qualifications: Knowledge of Python programming, machine learning, natural language processing, databases
-
candidates using photometry, spectral energy distributions and, when available, spectroscopic data. Both fellows will produce diagnostic plots and summary tables. Simple statistical or machine-learning methods
-
1 (one) Research Fellowship(s) for R&D Initiation under Special Regime (BII-RE) for Bachelor Student
requirements: Knowledge in Computer Science Additional optional skills and qualifications: Knowledge of Python programming, machine learning, natural language processing, databases, life sciences, or biology
-
requirements: Candidates must hold, at the time of application, a Bachelor’s degree in Informatics Engineering or related fields. Candidates must also have knowledge in: i. Deep Learning and LLMs: practical
-
. (FCT) under reference 2023.17977.ICDT (https://doi.org/10.54499/2023.17977.ICDT ), and through the COMPETE 2030 Programme via the European Regional Development Fund, under reference COMPETE2030-FEDER