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Field
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, AI services and data workflows across supercomputing, cloud and quantum computing environments. You will work closely with our researchers and international partners from academia, industry 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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, 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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solutions that support nationally significant research, artificial intelligence, advanced computing, and cyberinfrastructure initiatives. The position leads the technical design and implementation of large
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Genesis Mission, the American Science Cloud, and the Oak Ridge Leadership Computing Facility (OLCF). Working within the Workflows and Ecosystem Services (WES) Group at the National Center for
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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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Constructor Technology to gain first-hand industrial experience, contributing to real-world testbeds and prototypes. Research Focus This PhD position is part of the Wearable Intelligence Project , with
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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