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applications for the above-mentioned position at the Seminar for Statistics (www.math.ethz.ch/sfs). Candidates should demonstrate outstanding research and teaching records and a proven ability to direct research
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The University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 20 days ago
and maintaining an active research program in statistics and seek external funding; Teaching undergraduate courses and advising undergraduate research experience programs; Teaching graduate courses
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: 87348BR The Biostatistician / Data Analyst will be providing statistical support for ongoing clinical research projects, working on statistical methodological projects, and performing data analysis from
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duties and expectations is offered. Key Responsibilities 1. Perform research. Develop probabilistic models informed by data to guide and challenge hypotheses. Develop statistical frameworks to draw
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. This position requires teaching and advising to support the undergraduate and graduate programs in Mathematics and Statistics (Applied Statistics MS, Mathematics and Statistics MS and Statistics BS
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student population while maintaining an active professional development program. Required Qualifications • Education: Ph.D. in Mathematics, Statistics, or Data Science (candidates finishing by Fall 2026
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. This position requires teaching and advising to support the undergraduate and graduate programs in Mathematics and Statistics (Applied Statistics MS, Mathematics and Statistics MS and Statistics BS
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(PROINTE-SP), one of the SCDs in São Paulo state (Brazil) supported by FAPESP, the São Paulo Research Foundation. The research aims to develop technologies for data management and analysis capable
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Statistics program. Manage the career coaching services within the Statistics Department, supporting MA students and providing training to MA staff who also deliver career coaching. Develop and implement
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Functions Cleaning and organizing datasets Performing exploratory data analysis Preparing features for modeling The student will implement and evaluate statistical and ML models for various applications