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.; - Develop skills in artificial intelligence and machine learning techniques for analyzing operational data and detecting anomalies, using foundational model approaches (e.g., GridFM project, LF Energy
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support the conversion and modernization of packages developed in ROS1 to ROS2 in the laboratory. The fellow will collaborate with the members and those responsible for the original packages, ensuring
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the application and development of concepts and techniques in the area of Software Engineering which are usually introduced in curricular units included in the curricula of the Mestrados Integrados em Engenharia
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) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: Development of novel Machine Learning techniques applied in systems/networks research, which includes, but is not
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PROGRAMME AND TRAINING: - extend the knowledge of the state of the art in machine learning for lung cancer imaging data; - identify and select the appropriate methods for the study in question; - develop
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TEC. 2. OBJECTIVES: - Expand knowledge in the grant-specific scientific area.; - Identify and select appropriate methods for the target study.; - Develop research capability through the application
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-scaling architectures; - identify and select methods for researching, developing and validating the target topics; - develop research and prototypes using complex real-world architectures as case studies
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of the art in the area of antenna characterization systems; - Identification and selection of the most adequate optimization methods to address the proposed workplan: ; - Develop the research skills through
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Lithium Niobate by laser direct writing, as a lithographic tool, may also be explored. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: The work aims at the development of integrated optical