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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 8 days ago
Website https://jobs.inria.fr/public/classic/en/offres/2026-09928 Requirements Skills/Qualifications Profile: - The candidate is completing a Master's or engineering’s degree in Computer Vision, Electrical
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9 Apr 2026 Job Information Organisation/Company Faculty of Engineering Research Field Engineering » Computer engineering Researcher Profile Established Researcher (R3) Positions PhD Positions
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Eligibility criteria a. A PhD degree in Computer Engineering, Telecommunications Engineering, or related disciplines, or an equivalent degree obtained abroad. Pursuant to Article 38, paragraph 3 of Legislative
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candidate is expected to publish in leading Human-Computer Interaction venues. Your competencies You hold a master’s degree in human-computer interaction, computer science, interaction design, applied
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No If yes, what is the required licensure/certification? Required Computer Applications: Microsoft Excel Required Other Computer Applications: Microsoft Word, Microsoft PowerPoint, Microsoft Outlook Required
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students and the Master of Public Health programme, as well as some PhD courses. The position is for a period of three years. The objective of the position is to complete research training to the level of a
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, neuroscientists, computer scientists, clinicians, and data scientists across the Singapore-ETH Centre (SEC), the National University of Singapore (NUS), and Nanyang Technological University (NTU), the PhD student
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staff with excellent interdisciplinary knowledge and specialized, state-of-the-art expertise in software engineering, computer visualization, and data science. As a faculty member, the applicant is
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for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in
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learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement tasks to work with, enhance