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Field
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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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, 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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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 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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circuits and electronics integration. It is desirable that the candidates have sound knowledge in statistical analysis of device output and have experience with failure analysis. The role holder will work
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Laboratory techniques for sample preparation Analysis of mass spectrometric datasets and statistical calculations Contribute to in vitro analyses Contribute to carrying out animal experiments Contribute
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strongrecord of scientific productivity is preferable. The successful applicant must have a Ph.D.in Computer Science, Data Science, Statistics, Mathematics, Physics, Engineering orrelated field at the start of
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in a relevant discipline, such as medical statistics, and practical experience applying research skills to deliver high-quality outputs within specified timelines. A PhD, or ongoing PhD studies, in a
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analytical methods for the analysis of linked data from electronic health records and genomic or molecular sources. Strong statistical skills (e.g. proficiency in R or Stata), along with excellent writing