114 machine-learning-"https:" "https:" "https:" "https:" "https:" positions at University of Pennsylvania
Sort by
Refine Your Search
-
the legal adoption of an eligible child, such as travel or court fees, for up to two adoptions in your household. To learn more, please visit: https://www.hr.upenn.edu/PennHR/benefits-pay
-
, for up to two adoptions in your household. To learn more, please visit: https://www.hr.upenn.edu/PennHR/benefits-pay
-
planning, tool use, and multi-step decision-making into end-to-end machine learning workflows Designing and implementing software pipelines for real-time data processing, and developing complex database
-
, and R. Experience with neuroimaging tools (SPM, AFNI, FSL), clinically-acquired neuroimaging, machine learning, and working with Epic databases (Clarity, databricks, Caboodle) is strongly preferred but
-
, for up to two adoptions in your household. To learn more, please visit: https://www.hr.upenn.edu/PennHR/benefits-pay
-
, for up to two adoptions in your household. To learn more, please visit: https://www.hr.upenn.edu/PennHR/benefits-pay
-
expenses in connection with the legal adoption of an eligible child, such as travel or court fees, for up to two adoptions in your household. To learn more, please visit: https://www.hr.upenn.edu/PennHR
-
connection with the legal adoption of an eligible child, such as travel or court fees, for up to two adoptions in your household. To learn more, please visit: https://www.hr.upenn.edu/PennHR/benefits-pay
-
. * Proficiency in Python, and R programing is required. * Active interest in bioinformatics, genomics, data visualization, or machine learning applications is required. * Basic system administration basic
-
emphasis or experience in OLG models is preferred. Passion for using data, analytical methods -- such as econometrics and machine learning – and economic models to study policy issues. Experience performing