-
, Computer Science, Physics, Mathematics, or related disciplines within the last 5 years Proficiency in common scientific programming languages (e.g., Python, IDL, Matlab) Preferences: Excellent written and oral
-
, and/or field. · Strong knowledge of statistics, including multilevel modeling and experience analyzing big datasets (e.g., longitudinal modeling, archival data, and/or computational modeling
-
for a second year subject to satisfactory performance Qualifications Requirements: · Ph.D. in Atmospheric Science, Meteorology, Engineering, Computer Science, Physics, Mathematics, or related
-
assist the fellow in preparing a book manuscript for publication. The fellow will be eligible to apply for funds for research and conference travel. The University of Oklahoma (OU) is a Carnegie-R1