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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
information about STOR is at http://stor.unc.edu, and about BIOS at https://sph.unc.edu/bios/biostatistics/. Primary Purpose of Organizational Unit The primary mission of the Department of Statistics
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, statistical inference and machine learning, with potential applications to practical problems Independent teaching Supporting research work, participation in research projects, and assistance with teaching and
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professor in the Department of Statistics, College of Arts and Sciences. We seek an outstanding researcher to develop a research program at the forefront of statistics, artificial intelligence
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Position Description The Department of Statistics in the Faculty of Arts and Sciences (FAS) of Harvard University seeks to appoint a tenured full professor in Statistics in the area of statistics
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our Innovation Research Associates and other colleagues in the departments of Mathematics, Statistics, and Computer Science to develop robust, reproducible, and sustainable software that enables
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Type of Position Faculty Position Time Status Full-Time Tenure Track Status Non-Tenure Track Required Education A Ph.D. degree in statistics or a closely related field by August 01, 2027. Required
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). The professorship’s responsibilities include teaching and research in the area of statistical methods and machine learning with applications in the life sciences. Close integration of research topics between Helmholtz
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Position Description The Department of Statistics in the Faculty of Arts and Sciences (FAS) of Harvard University seeks to appoint a tenured full professor in Statistics in the area of statistics
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it. Your Tasks Develop new statistical techniques to identify signatures of planet-induced flaring Identify young stars and search them for planet-induced flaring using archival and upcoming Kepler
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estimated from observed data. The overall aim of the project is to develop statistical theory, methodology, and computational methods for such complex data problems, with a particular focus on models