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Intelligence (AI) and Machine Learning (ML) capabilities into distributed cloud-edge infrastructures to enable autonomous and efficient network/service management. The PhD candidate will investigate innovative
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, including fine-tuning techniques, RAG, and agentic workflows. Knowledge of wireless network, including WiFi, O-RAN, vRAN, and edge/cloud computing. Excellent programming skills in Python and popular
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consists of high-performance computing clusters, virtual machines, PetaByte-scale high-performance storage and cloud platforms. We work with scientists to develop solutions in support of cutting-edge
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FieldEngineering » Communication engineeringEducation LevelPhD or equivalent Skills/Qualifications PhD in Computer Science, Information and Communication Systems Engineering, Telecommunications, or a closely related
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design with observational healthcare data Large-scale data management in cloud computing environments (GCP, BigQuery, SQL) Programming in Stata and Julia with structured, reproducible workflows -- version
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: Mobile App Development Computer Systems Cloud Computing (specifically with knowledge of AWS) Salary is competitive and additional teaching opportunities are available. For more information about the
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NAISS, the National Academic Infrastructure for Supercomputing in Sweden, provides academic users with high-performance computing resources, storage capacity, and data services. NAISS is hosted by
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About the role: This post of Research Assistant (pre-doctoral) or Research Associate (post-doctoral) is to conduct research on cloud computing and future cloud infrastructure, under the direction
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) data analysis, workflow automation, and cloud computing. This role will support research and production environments where reproducibility, scalability, and performance are critical. The successful
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programme Reference Number C644914747-00000023 Is the Job related to staff position within a Research Infrastructure? No Offer Description 1 (one) Research Fellowship (BI) for a PhD Student Ref. 1149.10 - 1