22 big-data-and-machine-learning-phd Postdoctoral positions at University of South Carolina
Sort by
Refine Your Search
-
Listed
-
Field
-
status, gender (including transgender), gender identity or expression, genetic information, HIV/AIDs status, military status, national origin, pregnancy (false pregnancy, termination of pregnancy
-
(AWS, Google, or Microsoft) Knowledge/Skills/Abilities Ability to conduct research on earth surface properties using satellite remote sensing. Ability to write and edit programs in computer languages
-
), gender identity or expression, genetic information, HIV/AIDs status, military status, national origin, pregnancy (false pregnancy, termination of pregnancy, childbirth, recovery therefrom or related
-
, genetic information, HIV/AIDs status, military status, national origin, pregnancy (false pregnancy, termination of pregnancy, childbirth, recovery therefrom or related medical conditions, breastfeeding
-
Computer literacy with knowledge of at least one statistical software package (e.g., R, Mplus, Stata, SAS) Working collaboratively and effectively with colleagues and/or external stakeholders. Knowledge
-
), gender identity or expression, genetic information, HIV/AIDs status, military status, national origin, pregnancy (false pregnancy, termination of pregnancy, childbirth, recovery therefrom or related
-
relevant programming languages. Ability to use/learn several advanced modeling methods (e.g., statistical, mathematical, individual-based, or machine learning models). Experience with high-performance
-
relevant programming languages. Ability to use/learn several advanced modeling methods (e.g., statistical, mathematical, individual-based, or machine learning models). Experience with high-performance
-
of age, ancestry, citizenship status, color, disability, ethnicity, familial status, gender (including transgender), gender identity or expression, genetic information, HIV/AIDs status, military status
-
, disability, ethnicity, familial status, gender (including transgender), gender identity or expression, genetic information, HIV/AIDs status, military status, national origin, pregnancy (false pregnancy