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Field
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& Experience (specific to the project): PhD in Computer Science, Cybersecurity, Artificial Intelligence, or a related discipline. Strong research background in virtualisation, cybersecurity, AI or threat
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based on a computational approach and artificial intelligence, in collaboration with Brest University Hospital and Multiwave (Marseille), we are recruiting a doctoral student or postdoctoral researcher
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) Positions PhD Positions Country Spain Application Deadline 28 Nov 2025 - 22:59 (Europe/Madrid) Type of Contract Temporary Job Status Part-time Hours Per Week 20 Offer Starting Date 12 Jan 2026 Is the job
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innovation, intersectionality, social impact, sustainability. Specific Requirements A PhD in Design, New Media, Computer Science or related field, with a solid academic record. LanguagesENGLISHLevelExcellent
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of equitable and inclusive AI technologies in the Arab region. Applicants must have a PhD in Computer Engineering, Computer Science, Data Science, AI, HCI, or a closely related field, and a strong track record
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partners to promote the industrialization of technology. ESSENTIAL QUALIFICATIONS/EXPERIENCES A Ph.D. (obtained or soon to be obtained) in Computer Science, Automation, Artificial Intelligence, Operations
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to the development of the research milieu. Requirements PhD degree in a field closely related to the position (e.g., computerized image analysis/processing, machine learning, artificial intelligence, data science
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the advances on Information and Communication Technologies. FAST-Lab does research in Automation, Industrial Informatics, Industrial Cyberphysical Systems, Robotics and Artificial Intelligence. The main
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-edge high-performance computing (HPC) that incorporate machine learning/artificial intelligence (ML/AI) techniques into visualizations, enhancing the efficiency and reliability of scientific discovery
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classification algorithms including machine learning); and the output data and interpretability. The project “SORS in the community” is funded by the EPSRC (https://www.ukri.org/news/new-tools-aim-to-improve-early