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inference, longitudinal methods, survival analysis, regression modeling, machine learning, or prediction modeling are required, as well as experience with statistical software such as R, SAS, or STATA. Prior
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Part-Time Instructor For Access/Assistive Technology Teaching, Learning, and Leading - Pennsylvania-Pittsburgh - (26001388) University of Pittsburgh School of Education Part-time Faculty Position
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of Economics and Business and KU Leuven. You have an outspoken interest in fundamental scientific research and perceive opportunities for valorization of research findings and applied research. You teach courses
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https://hr.northeastern.edu/benefits/ for more information. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color
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University of Potsdam, Department of Human Resources | Potsdam, Brandenburg | Germany | about 13 hours ago
concepts and techniques of Artificial Intelligence (AI) and Machine Learning (ML) Knowledge in specific AI application areas such as Natural Language Processing (NLP) and Natural Language Generation (NLG) We
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in vivo and ex vivo respiratory disease research models with a keen interest and willingness to learn new research methods as part of a research team in the UK and USA. We offer an exciting and
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, go to the following link: https://www.cs.ny.gov/ssd/Manuals/SPMM/GIBS/GIB19-07.cfm NON-COMPETITIVE MINIMUM QUALIFICATIONS (NY HELPS): Administrative Assistant 1, (Salary Grade 11) NO Traineeship
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 17 minutes ago
Work Location CHAPEL HILL, NC Position Location North Carolina, US Hiring Range $54,000 - $60,000 Pay Band Information To learn more about the pay band for this branch and role, please see the Career
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adjunct faculty who are passionate about teaching and learning. Adjunct faculty are qualified part-time instructors offered teaching opportunities based on course demand and staffing. Aurora University is
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learning. • Adopt methods that fairly measure student progress toward student learning outcomes. • Evaluate student performance fairly and consistently and return student work promptly to promote maximum