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Job Reference: 1168098 About the Role: You will play a key role in advancing distributed and adaptive AI methods, focusing on scalable software frameworks, learning algorithms, and orchestration
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Computer science » Digital systems Computer science » Programming Computer science » Systems design Mathematics » Algorithms Mathematics » Statistics Researcher Profile Recognised Researcher (R2) Country Belgium
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. Analysis of images will investigate the efficacy of manual digital approaches (e.g., Dot Dot Goose) and the development of a marine litter characterisation and quantification algorithm for automated analysis
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, conducting performance assessments and benchmarking case studies, and helping codes to transition into the era of accelerate compute. You will be embedded into the SHAREing (https://shareing-dri.github.io
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work environment. We are seeking a part-time Research Assistant in computer vision and machine learning for human behavior analysis and modeling. The successful candidate will investigate new algorithms
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to the research; Good understanding of computer architecture; Basic understanding of MRI algorithms is a plus; Understanding of AI and its practical implementations; The ability to work in a team and take
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programme Reference Number AE2025-0600 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0600
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control and energy-management algorithms for efficient and reliable long-duration operation. Implement hardware-in-the-loop (HIL) and real-time co-simulation for validation under realistic grid scenarios
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Participate in the integration of Generative Artificial Intelligence algorithms and the enhancement of the recommender system. Is Your profile described below? Are you our future colleague? Apply now! Education
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, if is a master enrolled in a non-academic degree course, or of 4 (four) years if enrolled in a Doctorate; Knowledge in: Digital and energy transition Information models and optimization algorithms