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Field
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description POSITION OVERVIEW Academy: Academy of Artificial Intelligence and Advanced Technology Position
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responsible and effective adoption of agentic AI. The position reports to the Chief of Artificial Intelligence. Responsibilities Lead computationally focused agentic-AI research and engineering projects with
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list of responsibilities and selection criteria, please refer to the Position Description. Qualifications A PhD in Computer Science or a closely related discipline About Swinburne University
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
scientists, population scientists, and computational researchers Minimum Education and Experience Requirements PhD, MD, MD/PhD, or equivalent in a relevant discipline (e.g., biomedical informatics
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Information Security Research Centre (ACIS) Wireless Communications, Optical Communications, RF Engineering, Sensor Networks and IoT, Computer System Security, Mobile Computing, Cloud Computing, Edge Computing
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CI/CD pipelines. Familiarity with REST API design and real-time data streaming (SSE or WebSockets). Comfort working with JavaScript for frontend development. Master’s or PhD in Computer Science, Data
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. Demonstrated knowledge of software technologies, including software development processes, cloud computing, artificial intelligence/machine learning, data analytics, cybersecurity, mobile applications
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certifications in networking, security, or cloud. APPOINTMENT TERMS This is a full-time, end-dated position with the possibility of renewal subject to performance and funding. The University offers a competitive
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, visualization, and AI infrastructure, along with scientific consulting, user support, education, and training. RCC also helps researchers leverage local, national, and cloud-based computational resources
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version control ● Experience working with large datasets and cloud computing environments. ● Solid background in statistical modeling and inference ● Excellent written and oral communication skills, with a