Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
/phone. All applications are read online. Candidates must have a recent computer (preferably fewer than 5 years old) with a reliable, high-speed internet connection, and must have access to a private
-
Academic Discipline To learn more about Cornell’s non-union staff job titles and pay ranges, see Career Navigator . Union Positions The hiring rate of pay for the successful candidate will be determined in
-
dependability. Demonstrated ability to organize, implement, and teach informal educational programs. Demonstrated ability to communicate effectively through oral, written and visual means. Demonstrated ability
-
dependability. Demonstrated ability to organize, implement, and teach informal educational programs. Demonstrated ability to communicate effectively through oral, written and visual means. Demonstrated ability
-
undergraduates and 1,300 graduate students spread across 27 academic buildings (~850,000 nsf). What We Need We are looking for a team member who is collaborative, willing to learn, has attention to detail and can
-
child development, and military family life. Familiarity with issues revolving around poverty, families at risk, and domestic violence. Familiarity with community, social and human service organizations
-
reporting, scheduling and coordinating programs and events, compiling and maintaining materials and resources, following financial reporting requirements. Technology Skills - Proficiency or ability to learn
-
change including the potential for seasonal lay-offs. This position is part of the United Auto Workers (UAW) union. The current rate of pay is listed in the collective bargaining agreement here: https
-
level to the extent education is relevant to the position Unique applicable skills Academic Discipline To learn more about Cornell’s non-union staff job titles and pay ranges, see Career Navigator . Union
-
). Specializations in the department range from mathematical statistics, computational statistics, and machine learning to the development of statistical methods for astrophysics, ecology, economics, epidemiology