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on the Team The Department of Earth System Science in the School of Physical Sciences at the University of California, Irvine is seeking a PART-TIME, on-site Applications Programmer to work in the
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climate events in the Western US. CW3E is developing and implementing weather and climate observations, numerical models, machine learning algorithms, and decision support tools focused on atmospheric and
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. Key Responsibilities: Conduct research and development of AI/ML algorithms, including Reinforcement Learning and multi-agent decision making, for advanced ATFM concepts. Perform data mining, data
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. Evaluate optimal sensor placements and perform coupling measurements before and during each observation run of the LIGO Scientific Collaboration. Develop techniques and algorithms to characterize and remove
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Description Primary Duties & Responsibilities: Designs, develops, and implements: Algorithms and computer software for omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical
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their discipline. At this level, the role also involves contributing to service and engagement activities. The Researcher will contribute to innovative research developments within the scope of the ARC Discovery
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at the University of Sheffield within the consortium is to lead nationally the development of quantum machine learning (QML) algorithms. The research will involve designing innovative QML approaches and collaborating
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and climate data. Responsibilities: Creates programs and algorithms and develop computational infrastructure resources for organizing and parsing data from large and complex data; Develops and assist
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on and develop undergraduate and postgraduate modules related to Cyber Security. An evidenced track record is required within two or more of the following areas of Cyber Security: Pen-testing, Ethical
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other constituencies. Develop and maintain supporting documentation of measurement methods and algorithms, data sources and reporting processes. Conceptualize and develop cross-functional client/unit