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processes using C#, .NET, ASP.NET, and Microsoft SQL Server, with AI-assisted development as a primary approach. Actively leverages AI-powered development tools, such as code generation, intelligent
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of requirements, architecture and design of secure, scalable, asynchronous, agentic systems, based on knowledge of principles of API design, asynchronous processes, service deployment and delivering highly
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. Through our disease-focused clinics we offer an inter-disciplinarily approach to patient care that provides access to the most current therapies and to the resources of the University. In parallel with our
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advanced genome-editing tools. In parallel, we develop in-house sequencing technologies to dissect epigenetic and epitranscriptomic modifications at the molecular level, along with high-throughput platforms
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. Through our disease-focused clinics we offer an inter-disciplinarily approach to patient care that provides access to the most current therapies and to the resources of the University. In parallel with our
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destination. Job Summary The Data Science Institute (DSI) Tech staff is responsible for the design, operation, and security of all computing infrastructure within the Data Science Institute, including research
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parallel scheduling frameworks and operates the Scalable Systems Laboratory, a cloud-native software testing platform for the NSF Institute for Research and Innovation in Software for High Energy Physics
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components of key US cross-agency data and AI for Science efforts and initiatives. We seek a candidate with specialized knowledge developing scalable and robust computer systems, working with high performance
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. The University of Chicago is seeking a highly qualified Senior HPC System Administrator to join the system and operation team that builds and manages RCC HPC systems and facility operations. The individual in