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development and use of knowledge base of information to be used in delivering effective customer service. Analyze, compile, audit, and validate crucial eligibility data through multiple computer-based
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: Job Summary We are seeking a highly motivated undergraduate student with a strong background in computer science or a related field to support an interdisciplinary research project focused on developing
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computer science, statistics, and mathematics, to improve patients' experiences, outcomes, and population health. Purdue’s legacy of excellence in data-driven research is foundational to our work at RCHE. By uniting
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consists of empirical methods (observational and controlled experiments) and theoretical modeling (mathematical, statistical, and computational). The Fellow will work closely with Dr. Otárola-Castillo
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clinical faculty position will be at the Clinical Associate or Full Professor rank. A Ph.D. in information systems, computer science, economics, or related discipline is strongly preferred; however, a
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modeling, UV unwrapping, texturing, lighting, rigging, animating, 2D texture editing and painting for environments, props and characters. The student may also be involved in staging the art assets in Unity
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Artificial Intelligence, Stochastic Modeling and Optimization, and Data-driven Decision-making with applications in supply chain and operations management. This position offers an exciting opportunity
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management. Requisite skills include DNA extractions (ideally from noninvasive sources), PCR, sequencing and basic statistical modeling (e.g., simple regression). Desired skills include qPCR, ddPCR, and/or
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management and data analysis workflows. Advanced knowledge of statistical and epidemiological study design. Proven ability to learn new computational tools and packages. Excellent written and verbal
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(Purdue computing environment systems experience, Electronic Health Records, and auditing) Knowledge of state and federal regulations concerning quality improvement standards Participate in committee work