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Clinical Billing Specialist is an area expert, works under general direction, and is responsible for research, analysis and resolution of physician and hospital accounts. This position works directly with
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mathematical modeling with community-based surveillance to understand various facets of public health. The ideal candidate for this position will be an individual with ample coding, analysis/modeling, and data
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and operations analyses to identify root causes to problems or solutions to new requirements which are generally moderately complex. Triage/Troubleshooting. Participates in analyzing tickets to identify
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SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file to markus.schmidtchen at tu-dresden.de or to: TU Dresden, Junior Professorship in Applied Mathematics, Jun.-Prof. Dr
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order to be successful, you bring: MSC in Computer Science, Physics, Engineering, mathematics or related disciplines with a strong background in data analysis, mathematical modeling and algorithms Good
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resolving complex issues related to document transmission (i.e., Joint Services Transcripts, College Board, Parchment, National Student Clearinghouse, XAP) and processing for domestic, international, graduate
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computational methods for understanding complex economic and financial systems. Research Areas: Applied statistics and econometrics with emphasis on high-dimensional data analysis, forecasting and predictive
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learning, especially in complex, dynamic real-world systems. The Scope of Your Responsibilities: Development and extension of methods in causal inference and explainable AI, including causal effect
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bring: Bachelor’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field with 3+ years of experience applying and customizing data mining and data analysis methods
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well as help manage and direct these complex and challenging projects as opportunities allow. Main Duties and Responsibilities Perform the following activities in conjunction with and under the guidance