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. Additionally, we expect the successful candidate will develop a thematic, collaborative research program that aligns with expertise in the department, college, and university. Teamwork and collaboration
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high performance compute environments (cloud-based and slurm/lsf clusters) and model deployment platforms (e.g., Kubernetes, AWS SageMaker, Google Vertex AI, HF Inference). Experience with distributed
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-0479 An introduction to the datasets offered, so far, is found here: https://clouds-and-precip.group Contract terms The Doctoral student positions are fully funded from start. The position is a fixed
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disciplines: Data Science, Artificial Intelligence and Cloud Systems and Security. Our PhD students and faculty conduct world leading research in many areas of Computing, including in: Artificial Intelligence
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 11 hours ago
Position Information General Information Position Number 000166 Vacancy Open to All Candidates Working Title Program Specialist for Corporate Engagement Position Designation EHRA Non-Faculty
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in the position and outline skills and experience that directly relate to this position. Job Summary The MS Azure Cloud Engineer is responsible for the design, implementation, support, and optimization
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others achieve their educational aspirations. We offer excellent benefits, an effective recognition program, and outstanding learning and development tools, including tuition vouchers for employees and
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-performance and secure IT solutions and effective IT governance for the campus. Here at NUS IT, we aim to transform NUS into a borderless computing community providing knowledge at its fingertips by enhancing
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-depth knowledge of operating systems, cloud computing technologies, enterprise storage backup technologies, programming/scripting languages, enterprise hardware, and time series databases. They must also
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warehousing solutions that integrate diverse systems and enable actionable metrics, reporting, and AI/ML use cases. Design and build scalable, resilient, and maintainable data architectures across cloud