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Infrastructure? No Offer Description The PhD research investigates how knowledge graphs can shift from the cloud to the edge, enabling devices such as network routers and home care gateways to integrate and
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, research software development and technical coordination across cloud, High-Performance Computing (HPC) and federated research environments. A key focus will be the development of automated and
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the advancement of our research programs. This position is ideal for individuals with a strong background in bioinformatics and hands-on experience with cloud computing and complex biological data. Key
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-scale projects supporting AI innovation, federated data ecosystems, privacy-enhancing technologies, cloud-native platforms, and scientific computing environments. Working with faculty, researchers
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computing, cognitive science, and human–computer interaction . In close collaboration with academia and industry, they will contribute to building privacy-preserving, real-time personalization frameworks
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similar field, with a good fundamental knowledge of at least one of the following areas software engineering, cloud computing, edge computing, or Cyber Physical Systems. English language requirement
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Intelligence, Machine Learning, Data Science, Data Management, Natural Language Processing, Cloud Computing, and related computing disciplines. They will also contribute to curriculum development
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, operating and scaling scientific software, AI services and data workflows across supercomputing, cloud and quantum computing environments. You will work closely with our researchers and international
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Information Modelling (BIM), Artificial Intelligence (AI), cloud computing, IoT technologies, and real-time data analytics. Working with an international consortium of academic and industry partners, you
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Information Modelling (BIM), Artificial Intelligence (AI), cloud computing, IoT technologies, and real-time data analytics. Working with an international consortium of academic and industry partners, you