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Field
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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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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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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
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and on campus courses. Drexel operates on the quarter system, with a 10-week teaching term. Areas of need change from term to term and often include but are not limited to: Cloud Computing Data Science
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scenarios and network configurations. Caching options to be explored will include MQTT, Kafka, and databases. Relevant Field/s of Study: Embedded systems; IoT networking; cloud computing orchestration
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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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Engineering » Electronic engineering Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 26 Oct 2026 - 12:00 (Europe/Rome) Country Italy Type of Contract Temporary
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as maintaining computing infrastructure and supporting field-based research equipment. The position will be part of a team of technical-administrative staff that jointly cover the following areas