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Summary Positioned within Ulster University’s School of Computing, this research theme explores the integration of artificial intelligence with quantum technologies to advance next-generation
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advanced levels, mainly within the agronomy- soil & plant programme, and is also active in courses for professionals. Together with a research group from the Department of Applied Animal Science and Welfare
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systems, high-speed parallel file systems, and archival solutions critical to advancing scientific discovery and innovation. As part of ORNL’s leadership-class computing ecosystem, you will play a vital
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, including periapical, bitewing, panoramic, occlusal, and lateral images, and cone beam computed tomography scans. Aid dental students, residents and/or faculty in four-handed dentistry and in routine chair
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analysis of, for example, computational and communication cost, convergence and performance guarantees, robustness, and the handling of uncertainty and limited resources. The area includes, for example
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Program teams to identify data needed to help them make key strategic decisions. Continuously improve internal processes with quantifiable data points. Contribute to collegewide data reporting and survey
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This position is open to candidates aiming to pursue a research and academic
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.) Experience with big data tools (e.g., Hadoop, Spark, Kafka, etc.), data pipelines, and software development frameworks Experience with parallel programming (High Performance Computing experience is a plus) and
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projects. You will be responsible for managing and supporting the Science Data Processor High Performance Computing (HPC) infrastructure, including platforms, workload/resource managers, and parallel
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, or parallel computing. Strong programming skills. First research experience through peer-reviewed publications is meritorious. After the qualification requirements, great emphasis will be placed on personal