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integrates the analysis of failure modes and structural degradation in wind turbine blades, the use of monitoring data from optical sensors, SCADA systems, and inspection reports, as well as the development
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provides a structured taxonomy of exact, approximate, and parallel algorithms, indicating which ones have publicly available implementations. 4. REQUIRED PROFILE: Admission requirements: Undergraduate
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structures.; • Design and optimize, through full-wave electromagnetic simulations, a transparent unit cell operating in the FR3 frequency band.; • Investigate the integration of memristive switching devices
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of the fellowship is dependent on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: - Solid understanding of Linux kernel structures; - Experience
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Education Institutions. Preference factors: Motivation for experimental work in robotics, marine systems, and underwater platforms; Knowledge of the analysis and design of underwater vehicles or structures
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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
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governance, and organisational integration in industrial contexts; • Identify and model, notably using BPMN 2.0, the activities, actors, decisions, and organisational structures associated with the AI
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:; ; Improve and validate RADAR modules for detecting fruits and hidden structural elements in plants; ; Study optimized solutions with multiple RADAR modules, suitable for integration into manipulators and
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institutions to adjust support measures as cohort characteristics, institutional structures, or learning environments change. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: 1. Contextualisation
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exploiting operational data, structural condition data, and advanced sensing data to improve reliability, availability, and economic efficiency throughout the life cycle of the blades.; The work integrates the