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power systems, network analysis and power flow; - Experience or academic background in machine learning, Graph Neural Networks (GNN)/Grid Foundation Models and/or probabilistic methods and Monte Carlo
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hydrophone arrays and Distributed Acoustic Sensing (DAS) technology.; The objective is to develop methods for acoustic event detection, segmentation and selection of intervals of interest, Time Difference
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of metrics to evaluate reconstructed data quality, compression ratio, and computational cost; Study and implementation of lossy and lossless compression techniques, including methods based on predictive coding
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TEC. 2. OBJECTIVES: - The objectives of the scholarship focus on the development of an antenna based on a glass substrate.; - Identify and select suitable methods to develop the proposed work plan
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-making methods powered by supervised and reinforcement learning, which aim at trustworthiness in AI-assisted human control with augmented cognition, hybrid human-AI co-learning and autonomous AI, with
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for lung cancer imaging data; - identify and select the appropriate methods for the study in question; - develop the research capacity through the application of the selected methods; - exercise a critical
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, supported by INESC TEC. 2. OBJECTIVES: - Broaden knowledge of the state of the art in the specific scientific area of the fellowship; - Identify and select the methods appropriate to the study in question
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practices, ensuring methodological rigour, reproducibility, documentation and critical analysis of the limitations of the methods used; • To apply critical thinking when evaluating the research process and
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the area of optimization applied to the energy area - develop research capacity through the application of optimization methods - apply innovative techniques to problems related to smart energy networks. 3
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the area of optimization applied to the energy area - develop research capacity through the application of optimization methods - apply innovative techniques to problems related to smart energy networks. 3