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Field
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judgment, completing tasks with minimal supervision. Capable of identifying and solving complex problems involving multiple stakeholders. Experience managing daily deadlines and long-term projects. Able
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require expertise in both database design and complex statistical methods and algorithms. Expected projects will include design of research and operational databases and statistical analyses, and
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analyses, develop diagnostic, prognostic, and predictive models using different types of data (e.g., exposure data, omics data, and clinical data), and develop algorithms and methodologies for evaluating
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submission to journals and conferences. Present research findings at seminars, conferences, and scientific venues. Develop innovative and robust machine learning algorithms to personalize interventions
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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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on biomedical research. This department leads multiple federally and non-profit funded biomedical research projects, which are focused on the integration, analysis, and sharing of biomedical and health care data
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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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to contributions in top-tier international journals and real-world implementations. Responsibilities: Develop and refine algorithms for decision optimization and risk control, utilizing big data and advanced
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, and the willingness to work with multiple researchers, and technical staff in an interdisciplinary environment; Must be able to exercise judgment and discretion, and to prioritize and manage multiple
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manages multiple projects of varying complexities. Based on expert technical knowledge, skills and experience, develop broad-based solutions involving multifaceted technologies, and business processes