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Field
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needed under the direction of the Transitional Care Coordinator. Under the direction and supervision of Transitional Care Coordinator, utilizes multiple referral platforms such as Enso care, e-fax and
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research in computational biology, single-cell ‘omics-based and multimodal machine learning (ML), and, for the candidate with appropriate skills, quantum computing algorithms and software for applications in
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scientists who can use multiple tools and approaches with a desire to advance science at the intersection of management, genetics, and the environment. Research impacts should include improved decision making
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coordinating the development of complex scientific figures and infographics Demonstrated ability to plan, coordinate, and prioritize activities across a team or multiple teams to deliver content on time and with
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, developing novel algorithms for pattern detection, extreme event attribution, and seasonal forecasting. Lead development of innovative visualization techniques and interpretable machine learning methods (30
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and the project's co-principal investigators (from multiple organizations) to oversee a cross-organizational research team consisting of a group of postdoctoral associates, PhD students, and several
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on solving the world’s most challenging problems through artificial intelligence and data driven algorithms and systems. CSMD creates the mathematics, artificial intelligence, and architecture-aware algorithms
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-dimensional data generated from emerging technologies and diverse platforms, author scientific papers on statistical methods and algorithms developed, and continuously expand expertise in statistical techniques
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methods development, novel algorithm development and/or in-depth data analysis that facilitates and integrates implementation, visualization, and database management of multi-dimensional clinical and
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Responsibilities: Research (75%) Investigate literatures to identify existing solutions and the problem Develop and apply state-of-the-art natural language processing algorithms and models to multimodal data