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visualization, and data analysis algorithms and methods; Sense of responsibility and ability to communicate and integrate into multidisciplinary work teams. 3. Financial component - According to the Table
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programme Reference Number AE2026-0003 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0003
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. Collaborate with partners in signal processing and machine learning to link physics-based models with data-driven algorithms. Participate in joint research activities, publications, and dissemination through
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Communication/Digital Media is required, and a strong background and experience working with artificial intelligence systems, machine learning algorithms, augmented/virtual reality technologies, robotics, and/or
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related topic: Strong understanding of power electronics principles Excellent knowledge on data-driven machine learning algorithm and experience in using these algorithm for electrical engineering problems
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Operations Manager to lead and monitor operations for continuous algorithm improvement and validation. This will involve guiding the development of data management systems and establishing data assessment
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deadlines. A bachelor’s degree in Computer Science or Computer Engineering is required. The candidate should also demonstrate experience and excellence in systems or tool building, algorithmic thinking, and
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to develop algorithms and methodologies for mapping irrigation patterns using satellite imagery. Investigate methods for detecting the timing and frequency of irrigation events from time-series remote sensing
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such an environment and using this information in control algorithms to ensure robust navigation. This project is funded by the Hauts-de-France Region. Mission The recruited person ensures research work. She will be in
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programme Reference Number AE2025-0594 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0594