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limit, we see continued opportunities with our strategy of using statistical research to outsmart the competition. Job description As a Quantitative Researcher, your focus is on identifying trading
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program. A doctoral degree or equivalent (Ph.D., ScD., DrPH, M.D., D.V.M., DDS etc) in Epidemiology, Biostatistics/Statistics, Bioinformatics, Genomics, or other relevant disciplines. Knowledge in the areas
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Responsibilities for the role include: Data collection, cleaning, and merging from large-scale microdata sources (e.g., patents, dissertations, bibliometrics). Conduct data analysis using econometric and statistical
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University Notice of Non-Discrimination here which includes contact information . The Annual Security and Fire Safety Report, containing policy statements, crime and fire statistics for all Indiana University
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, statistics, chemistry or a related area, with extensive research experience and a strong publication record. Excellent mathematical and programming skills are essential, with experience in two or more of
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the framework of the project using statistical methods. - Contribution to academic publications based on project’s results. - Administrative support of the project, its events and activities. The employment
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(e.g., Public Health, Medicine, Global Health, Respiratory Medicine). Strong background in epidemiology, clinical research, or biomedical sciences. Proficiency with data analysis and statistical software
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,statistics and systems science or closely related area Appl Deadline: 2025/12/31 11:59PM (posted 2025/01/27) Position Description: Apply Position Description We seek candidates for Researchers with strong
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Kaiyuan International Mathematical Sciences Institute Position ID: 3545 -RA [#26225] Position Title: Position Location: Changsha, 湖南 410008, China [map ] Subject Area: mathematics,statistics and
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international networks that are useful for this position; Article 9 certified (legal qualified to perform animal experiments) is a plus; Experience in analytical chemistry, ISO17025, statistics and data analysis