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to join a multidisciplinary team working on the development of energy-efficient, fault-tolerant AI systems resilient to space radiation. This collaborative project spans multiple levels of research
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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 the nation, and
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depends on the ability 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
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intelligence is preferred in candidates applying for this position. Responsibilities Design, develop, test, and debug complex software programs. Implement and optimize algorithms (ML + AI) for data-intensive
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research activities, assists in preparing human subjects protocols, manages and analyzes data across multiple projects. Contributes to building traditional statistical models and machine learning algorithms
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
meteorology, and numerical modeling techniques with an understanding of local-scale physical and chemical processes from multiple emissions sources as represented in current models, and quantitative analysis
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) strong communication skills – written and oral, c) ability to develop/translate model algorithms and develop new model code in Fortran, d) software skills needed to work with multiple observed and model
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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