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languages such as CUDA. Strong understanding of computer architecture, memory systems and parallel algorithms. Experience with profiling and debugging tools for GPU applications desired, such as NVIDIA
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the Budget, Financial Planning & Analysis Office using multiple reporting tools including SUNY BI, Tableau, OBIEE, and Microsoft Excel and Access. This is a dynamic role that will provide the candidate
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demonstrated notable innovation in recent advances, such as the foundations and applications of large language models (LLMs) or the development of novel AI algorithms utilizing the latest technologies
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the Budget, Financial Planning & Analysis Office using multiple reporting tools including SUNY BI, Tableau, OBIEE, and Microsoft Excel and Access. This is a dynamic role that will provide the candidate
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to support local people and communities everywhere. By working in and across multiple scientific areas, CALS can address challenges and opportunities of the greatest relevance, here in New York, across
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signals Innovate new in-line signal processing, measurement data analysis algorithms, and data visualization techniques. Innovate and test new instrument types and measurement methods, Work with commercial
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of Chicago Law School. Responsibilities will span all stages of research, including collecting data of in both tabular and spatial formats, developing algorithms that clean and organize data, conducting
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, statistical applications, programming, analysis and modeling. The Ovarian Cancer Research Lab at the University of Chicago is seeking a full-time, on-site Clinical Data Scientist/Analyst to support multiple
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responsibilities will span all stages of research, including collecting data of in both tabular and spatial formats, developing algorithms that clean and organize data, conducting statistical analyses, running
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experience and plans lie at the forefront of areas such as quantum computing, quantum algorithms, quantum simulations, and quantum error correction. Predominant research activities of the selected candidate