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. • Prepare, clean, and manage datasets for analysis. • Contribute to documentation, reporting, and reproducibility of analyses. • Support research teams in the application of statistical methods and software
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: Education & Experience: Graduate degree (Masters/PhD) in Computer Science, Engineering, Mathematics, Statistics, or similar disciplines and two or more years of professional experience, or can convincingly
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several units, depending on departmental needs. Qualifications We seek candidates with experience and demonstrated excellence in teaching a wide range of courses in Statistics, Data Science, and/or Machine
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equivalent foreign degree, obtained within the last three years prior to the application deadline Publications in leading journals or conferences in probability, statistics, or machine learning. Teaching
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Department of Mathematics & Statistics 221 Parker Hall Auburn, AL 36849 Web Page: http://www.auburn.edu/academic/cosam/departments/math
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The University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 8 days ago
Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 24-Dec-25 Location: Charlotte, North Carolina Categories: Academic/Faculty Mathematics/Statistics Internal Number
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Data Science seeks open-ranked adjunct professors with a strong commitment to excellence in teaching applied statistics to fill temporary positions for the Master of Applied Statistics program for Winter
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are looking for a full-time (100%) visiting lecturer in the field of Statistics. Position You will be responsible for high-quality education in Statistics within FLAMES. FLAMES is an inter-university initiative
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research and teaching, MS Office, and statistical data analysis skills. The competition may be entered by persons who meet the requirements provided for in Article. 113 of the Act of Law on Higher Education
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employees. More information can be found here . Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Development of statistical methods