Sort by
Refine Your Search
-
Listed
-
Field
-
intelligent surfaces ; - Identification and selection of the most adequate optimization methods to address the proposed workplan: ; - Develop the research skills through the application of the selected methods
-
experience in programming with R and RStudio.; Knowledge of Data Visualisation and Multivariate Analysis.; Minimum requirements: Enrolled in a Master’s program in the relevant admission area. Knowledge
-
engagement with suppliers for comparative analysis of commercial solutions.; • Participation in the installation and integration of the characterization system within the laboratory environment.; • Execution
-
of these features in other DevOps platforms, such as GitLab. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: Experimental analysis of the requirements, functionalities, and limitations of the GitHub Actions
-
TEC. 2. OBJECTIVES: Collaborate with clinical partners in data collection and annotation Design and implement new deep learning solutions for the analysis of heart sound auscultation, electrocardiogram
-
-world environments; - Data analysis and correlation; - Management of the code repository and the collected database; - Participation in project meetings; - Writing scientific articles. 3. BRIEF
-
and validation in a laboratory context 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: State-of-the-art analysis of hybrid AC/DC microgrid architectures applicable to ships. This work also
-
TEC. 2. OBJECTIVES: - broaden knowledge of the state of the art in the scientific field of DevOps Cloud Architectures, Infrastructure as Code (IaC) and on-demand, intelligent configuration of self
-
microgravity environments. The fellow will have the opportunity to acquire skills in research applied to space technology, combining theoretical analysis, simulation, and experimental validation. 4. REQUIRED
-
/pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: Real-time signal analysis algorithms, feature identification, and personalized