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, particularly for researchers with a variety of skills and needs. *Teaching experience in statistics/research methods. *Experience or training in a specialised subfield relevant to the centre with a large
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- or Part-Time Lecturer (Unit 18) Non-Senate Faculty in the various areas of Statistics. Desirable qualifications include a Ph.D. or M.S in Statistics, or equivalent education or experience in a related field
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at Youngstown State University More Jobs from This Employer https://main.hercjobs.org/jobs/22172229/assistant-professor-statistics-and-data-science-mathematics-statistics-tenure-track Return to Search Results
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 17 hours ago
Position Details Position Information Position Title Part-Time Academic (STAT/MATH 2060.03 Introduction to Probability and Statistics) - Summer 2026 Posting Number PTAP3226P Department/Unit
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Position Title: Assistant Teaching Professor in Statistics Appointment Type: Faculty Job Description: Summary of Duties and Responsibilities: The Department of Statistics invites candidates to apply
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should demonstrate potential for teaching a variety of undergraduate statistics and data science courses, including courses using R or Python. Responsibilities include teaching two undergraduate courses in
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-15300 Job Description Teach a variety of upper-level courses in one or more of the following areas: data science, mathematics, mathematics education, or statistics primarily in an in-person format. Teach
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emerges. Teaching Responsibilities The appointment may include teaching undergraduate and graduate courses in statistics, quantitative analysis, and business analytics. Nondiscrimination Statement State and
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Pennsylvania State University, Department of Statistics Position ID: PSU-POSTDOC8 [#28282] Position Title: Position Type: Postdoctoral Position Location: State College, Pennsylvania 16802
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, teaching, graduate student supervision, collaborative research. Teaching is conducted in Chinese and/or English. Qualifications: Ph. D. in Statistics or related fields, strong research background