543 Statistics "University of North Texas Health Science Center" positions in united-States
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Job Title Statistical Analyst Agency Texas A&M University Department Academic & Business Performance Analytics Proposed Minimum Salary $4,142.67 monthly Job Location College Station, Texas Job Type
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, is responsible for the design, monitoring and statistical analysis of clinical trials and observational studies for several major national and international NIH-funded clinical research networks. CBAR
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, College Of Arts & Sciences, Math & Statistics (24500622300507) Tracking Code: 24500622300507 Job Description The Undergraduate Academic Advisor in Math & Stat is the primary point of contact for all Math
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, integrated, embodied systems, you will co-create, validate, and disseminate a statistical Index of Community Assets (IoCA) to capture aspects of community and belonging in neighbourhoods that are not well
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the discipline, demonstrated by a PhD (or nearing completion) or equivalent in Mathematics and Statistics, to develop teaching programmes, and teach and support learning; Please ensure you read the Job Description
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, some of your specific duties will include: This position will be a vital member of WFRC, working directly with the researchers to develop and test innovative statistical tools, design research projects
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violent outcomes such as domestic and sexual violence. Your responsibilities will include coordinating and managing the project, overseeing the research database, conducting statistical analyses
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a background in statistical analysis, data curation, and information. Ability to find, extract, and analyze clinical data from the electronic health record. Clean and preprocess raw data to ensure
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management and statistical analyses for publications, presentations and grants submissions for a team of cancer researchers. Successful candidates will require diverse skills in data management and statistical
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time scales. The core responsibilities of the Research Specialist will include: expand/develop code in R for conducting multivariate statistics and deep learning analyses using discrete and continuous