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intelligence, or related areas Experience with large language models, machine learning systems, software testing, program analysis, requirements analysis, or software quality assurance Strong programming skills
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heterogeneity govern transport dynamics and degradation mechanisms during extended operation. A coupled mechanical–transport framework, accelerated through machine-learning surrogate models trained on multiscale
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Are you eager to push optical atomic clocks to new levels in a lively, international research group? Do you enjoy creating complex machines that have never existed before? Do you want to explore
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focuses on the development of secure and trustworthy AI for resource-constrained embedded systems. The research will investigate how machine learning models can be designed and deployed efficiently
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Engineering or related disciplines, provided you have a strong interest in communication systems and networking. If you have a solid technical background and are excited about future wireless and satellite
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computer vision applied to healthcare; developed within ongoing projects and other future projects in related areas, as well as the pursuit of new funded projects and support for laboratory management at CIR
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Strong Python skills and experience with data manipulation Basic machine learning knowledge (equivalent to at least an introductory course) Additional skills (nice-to-haves) Experience with website
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are developing scalable prototypes of a quantum computer and a secure quantum internet. We believe quantum technology will be a game changer in many social and economic sectors - including health, agriculture
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16 Jul 2026 Job Information Organisation/Company UNIVERSITAT POMPEU FABRA Department Department of Economics and Business Research Field Engineering » Computer engineering Researcher Profile First
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actuation, feedback and computation across their soft bodies, blurring the boundary between material and machine. Our work hints that key platforms to capture such material intelligence are ‘robotic materials