Sort by
Refine Your Search
-
/Monthly) Department Alumni Advancement Minimum Position Qualifications Bachelor’s degree in a relevant area and seven (7) years of related experience, preferably in higher education or a complex nonprofit
-
Thorough knowledge and command of all relevant facts and critical information in all HR related situations Can effectively handle a variety of complex and difficult problems or tasks at once Has an extremely
-
Thorough knowledge and command of all relevant facts and critical information in all HR related situations Can effectively handle a variety of complex and difficult problems or tasks at once Has an extremely
-
complex health needs to facilitate a smooth transition from home to school. Serves as a liaison among school administrators, parents, nurses, and medical providers to ensure proper implementation and
-
/Monthly) Department Multicultural Affairs Minimum Position Qualifications Master’s degree in the relevant area and three (3) years of appropriate experience. Plus one (1) year of supervisory or program
-
critical information in all HR related situations Can effectively handle a variety of complex and difficult problems or tasks at once Has an extremely strong sense of urgency about solving problems and
-
project management skills. Demonstrated ability to work through the complex and sometimes political landscape of a major research institution. Knowledge of local, state, and federal buildings and facilities
-
) Department VP Student Affairs Minimum Position Qualifications Master’s degree required, and a minimum of three (3) years of experience in program coordination, student success initiatives, career readiness
-
project management skills. Demonstrated ability to work through the complex and sometimes political landscape of a major research institution. Knowledge of local, state, and federal buildings and facilities
-
Machine Learning in particular. Candidates with research interests in the analysis of complex, dependent high dimensional data and the use of graph theory and combinatorics for high dimensional statistical