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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
of scientific articles and the PhD thesis Additional activities : Participation and involvement in the ANR project Scientific mediation and communication Where to apply Website https://jobs.inria.fr/public
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science, electrical engineering, etc.) and you were at the top of your class. Excellent analytical skills and a solid basis in machine learning and/or operational research. You can understand literature in both
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, MATLAB, C/C++, etc.) and/or knowledge of holographic imaging is a plus; Prior knowledge and hands-on experience with state-of-the-art machine learning frameworks (e.g., sci-kit-learn, Tensorflow, PyTorch
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, machine learning, explainable artificial intelligence (XAI), digital twins, and integrated data-model approaches. • Study of the frugality of the developed approaches by reducing the requirements
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of intangible cultural heritage Experience in integrating computer vision and NLP approaches for multimodal cultural heritage applications Strong research and analytical skills, with experience in data collection
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) Positions PhD Positions Application Deadline 27 Jun 2026 - 15:00 (Europe/Bucharest) Country Romania Type of Contract Temporary Job Status Part-time Hours Per Week 5 Offer Starting Date 15 Jul 2026 Is the job
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team includes: Prof. Ivan Depina – main supervisor and coordinator, probabilistic modelling, scientific machine learning Prof. Mohamed Hamdy – building performance simulation, building automation
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decentralized machine learning. Applications are within 6G mobile access, distributed intelligence and computing, and drone swarms. As a PhD student, you devote most of your time to doctoral studies and the
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software or similar languages and experience with modern machine learning and deep learning frameworks parallel computing using clusters like UPPMAX and GPUs for high-performance computing and parallel
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practical machine learning/artificial intelligence courses and relevant project and thesis experience. You have a keen interest in AI alignment, human-AI interaction, and explainable AI, and enjoy