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heterogeneous computing platforms. The project combines fundamental research in embedded software and compiler systems with practical validation on state-of-the-art embedded AI hardware platforms. Successful
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The future of software engineering is AI-native. Our team works to shape that future through pioneering research, practical engineering methods, and close collaboration with government, industry
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The future of software engineering is AI-native. Our team works to shape that future through pioneering research, practical engineering methods, and close collaboration with government, industry
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programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning technology, HCI, CSCW, IT operations and
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» Mechanical engineering Engineering » Industrial engineering Computer science » Cybernetics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 Oct 2026 - 23:59 (Europe
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IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning technology, HCI, CSCW, IT
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relevant cell research by combining robotics, microfluidics, advanced sensors, cloud-connected software, and artificial intelligence. The successful candidate will become part of a multidisciplinary
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The future of software engineering is AI-native. Our team works to shape that future through pioneering research, practical engineering methods, and close collaboration with government, industry
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The future of software engineering is AI-native. Our team works to shape that future through pioneering research, practical engineering methods, and close collaboration with government, industry
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Development of reproducible software tools and computational workflows for biomedical research Develop novel AI, machine learning, and deep learning methods to address complex biomedical questions in diabetes