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. 2. Modular framework for HW/SW integration and embedded computing. 3. Perception (vision), sensory fusion, navigation and control with energy management and communications. 4. Multi-platform testing
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. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: • Develop optimization algorithms for predictive energy management • Model consumption, renewable generation, storage and CO₂ emissions • Test the
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biosignals. Application of machine learning techniques for classification of different classes using the extracted features. Assembly, documentation, testing, and use of an innovative biosensing system
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customization process by conducting laboratory tests. - Improvement of the data workflow for real-time processing and sharing. - Data collection in experimental and real-world environments - Data analysis and
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. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: • Develop real-time optimization algorithms • Model multi-vector energy-water-hydrogen systems • Support the development of digital twins • Test the
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. OBJECTIVES: ; This scholarship's main objectives are the research and development of new experimental evaluation tools that allow testing the correctness of data-centric systems and data storage systems
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TRAINING: This work will start with a study on controlled data sharing methods in federated environments. Existing solutions will be tested for creating data spaces that align with the technical and
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of custom components; Mechanical, electrical, and functional integration of the devices; Participation in experimental testing in laboratory, tank, and marine environments; Support for the validation
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the execution of tests in both laboratory and marine environments. The work will also involve the integration of external sensors, such as AIS stations.; 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND
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insurance, supported by INESC TEC. 2. OBJECTIVES: • Research novel deep learning models for anatomically structured EGGIM estimation.; • Develop methods for image-level and examination-level reliability