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Driven Discovery. Job Responsibilities: Analyze biomedical data with minimal supervision by performing advanced analysis, algorithm implementation, programming, and quality check. Assist senior analysts
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solutions for distribution power grid with renewable energy sources Development of simulation models and integration of CPS security algorithms into hardware-in-the-loop testbed environment and conduct
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departmental algorithms, the Scheduler critically evaluates the nature and urgency of scheduling requests to provide comprehensive clinical ambulatory scheduling for providers within the department specialty
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Models with Algorithmic Reasoning Tasks We are seeking a postdoctoral researcher to contribute to our lab’s mission of aligning machine learning (ML) models with algorithmic reasoning tasks. Our goal is to
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results are aggregated into an overlapping generations (OLG) model for longer-term dynamic forecasting and distributional analysis. Models are frequently updated to reflect the latest economics and
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degree in a biological science, health science, or related field, or equivalent combination of education and relevant experience. Proficiency in digital and computational pathology, AI/ML algorithms, and
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. Uses appropriate algorithms, logic, and data structures to solve problems and promote code reusability 4. Writes well organized, documented, and readable code 5. Uses appropriate revision control
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algorithms that run continuously and emit alarms to apps and other tools that could potentially save lives in the event of a large earthquake anywhere across the entire west coast of the U.S. and further as
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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
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states, and hidden actions; New methodological and algorithmic developments for Continuous-time RL. Missing Data Problems: Novel imputation and inference techniques in various missing data problems