Sort by
Refine Your Search
-
Listed
-
Employer
- Universidade de Coimbra
- University of Trás-os-Montes and Alto Douro
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- COFAC
- FARM-ID - Associação da Faculdade de Farmácia para a Investigação e Desenvolvimento
- FEUP
- Faculty of Sciences of the University of Porto
- INESC TEC
- Instituto Politécnico de Bragança
- Instituto Politécnico de Setúbal
- Instituto Superior Técnico
- Instituto Superior de Agronomia
- Instituto de Engenharia Mecânica
- UNIVERSIDADE DE ÉVORA
- Universidade Católica Portuguesa - Porto
- Universidade do Minho - CTAC
- 6 more »
- « less
-
Field
-
command of English (min. B2). Preferred: • Experience in C and data engineering; • Previous experience in database development and/or maintenance; • Knowledge of Large Language Models (LLMs) applied to data
-
institutions. The objectives to achieve within this project are: Collaborate on maritime sensor deployment planning. Automate data collection and post-processing of maritime-sensor live feed. Create surrogate
-
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
-
corrosion simulations; Adjustment of simulations for various scenarios, including multiple towers and laboratory models; Analysis of virtual acceleration signals; Processing using artificial intelligence
-
prevention of breaches in command and control information security. Duration: The research fellowship(s) will have a duration of 09 months. It’s expected to begin in October/2025, and the contract is not
-
Research Studentships (for students of a Master or Integrated Master students) - (BL202/2025-IST-ID)
Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago: Until now, we have been using neural networks with traditional architectures, namely the so-called Convolutional Neural Networks (CNNs). These networks are employed as the backbone of the Multiple
-
, review checkpoints, and delivery timelines; 5- Coordination and Oversight to ensure quality control, adherence to the artistic vision, and timely execution across all stages of production. LevelExcellent
-
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
-
Engineering, Engineering Physics, Data Science, or related areas; Preferential factors: Previous experience in modelling and control; Portuguese language proficiency; English language proficiency. Requirement
-
: Universidade Católica Portuguesa is the controller responsible for the processing of Personal Data in accordance with Regulation (EU) 2016/679 – General Regulation on Data Protection. The personal data processed