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Field
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Health Access Services This position will be responsible for performing essential tasks required for the creation and revision of Epic scheduling decision trees (algorithms) and for leading other Maestro
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data science, statistics, psychology, public health, social sciences, or related disciplines. Proficiency in statistical analysis, data mining, predictive modeling, and machine learning algorithms
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of algorithmic design and analysis techniques with potential impact on long-standing open problems in online algorithms, and the development of universal techniques for designing learning-augmented algorithms
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in developing new tools to understand the nervous system and to explore theories behind neural phenomena. As for developing new tools, we have been working on network alignment algorithms [FCC+21] and
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computational algorithms of different datasets, and implement novel algorithms within the framework of existing code, providing documentation and user support. You will be responsible for leading statistical
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, algorithms, and computational models that support and enhance research objectives. Mentor and Train Research Personnel: Provide guidance and instruction to graduate students and, when applicable, other
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the best performance from the CCD during the SMILE mission lifetime. Support the analysis of the SMILE CCD radiation damage studies and support development of radiation correction algorithms for the SMILE
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development of resource algorithms for forecasting, and cross functional collaboration to provide a single source of truth for clinical trial resource demand and supply planning. What You’ll Do Resourcing
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to develop and implement pulse sequences and reconstruction algorithms on Siemens and GE platforms. Assisting in protocol optimization to ensure consistency and quality across imaging studies. Providing
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NUS Researchers and NUS Staff; Develop first-generation prototypes of systems and data endpoints through which NUS Researchers and Staff can access and use the NUS Data products; and Promote improved