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out by the scholarship holder are:; ▪ State-of-the-art analysis of AI-driven EMS for small-to-medium vessels, focusing on hybrid battery/fuel cell system integration.; ▪ Requirement specification
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requirements of ships.; ▪ Model and validate the proposed solutions in a laboratory environment.; 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: State-of-the-art analysis of AC/DC hybrid microgrid
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TEC. 2. OBJECTIVES: The NeuroEngineering Laboratory at C-BER has extensive experience in biomedical image analysis from different clinical contexts, ranging from the analysis of motor seizures in
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involve system integration and calibration, acquisition of spectral maps, and development of tools for data processing and analysis. The researcher will receive training in photonic instrumentation, laser
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, frequency, and time-frequency domains). Development and validation of machine learning and deep learning models integration and analysis of data from wearable and clinical monitoring devices and clinical
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pre-processing, including background correction and normalization.; • Develop algorithms for spectral feature extraction and chemical map generation from LIBS data.; • Apply multivariate analysis and