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and the tools required to make data driven discoveries that increase our scientific knowledge and improve the quality of life. We architect ecosystems of large-scale commons of research data, computing
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position. Associate Professor / Senior Lecturer in Computer Science Area: Emerging Technologies (Machine Learning, Cyber Security, AI, Cloud Computing) Primary Responsibilities Teach assigned undergraduate
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, database theory, and edge and cloud computing, this research will pave the way for a new reasoning paradigm that unites the expressiveness of materialisation with the efficiency of virtualisation. You
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architecture, including networking, cloud, end user computing, hosting, data centres, storage, virtualisation and core infrastructure services. They will lead a small team of domain architects, establish
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across large-scale clinical environments. What You'll Do: Design, build, and optimize distributed data processing workflows utilizing technologies such as PySpark, Dask, and cloud-based computing
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, data analysis, and visualization environments/IDEs (e.g., R/R Studio, Python/Spyder/VSCode) Familiarity with GIS methods and cloud-based computing resources (e.g., Google Earth Engine) for large-scale
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with fundamental programming concepts, frameworks, languages and technologies such as SQL, C#, .NET, Java, XML, and JSON. Familiarity of Cloud Computing fundamentals; specifically, iPaaS, IaaS, SaaS
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successful candidate will be based in the UW FiberLab ( https://fiberlab.uw.edu ) under the supervision of Brad Lipovsky and William Wilcock where they will have access to in-house petascale computing
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research on cold cloud and precipitation processes, by using datasets from satellite, aircraft, and ground-based instrumentation. More details can be found on the group website: https
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, V2X, Connected Health Mist, Edge and Fog Computing SDN/NFV IoT protocols IoT architectures Digital Twin Network Security Smart Applications Device/Edge and Cloud based Machine Learning Position Type