219 computer-science-intern-"https:" "https:" "https:" "https:" uni jobs at The University of Chicago
Sort by
Refine Your Search
-
Department PSD Computer Science: Administration About the Department The Department of Computer Science is an academic department that has a rich history of advancing and defining new fields
-
budgets, resources, and grants in alignment with divisional priorities. Supervise student workers, interns, and assistants supporting program delivery. Faculty, Staff, and Trainee Programs Recruitment: Co
-
requirements include knowledge and skills developed through 5-7 years of work experience in a related job discipline. Certifications: --- Preferred Qualifications Education: Bachelor’s degree in Computer Science
-
science, public policy, or a closely related discipline. Master’s or other advanced degree. Experience: At least 7 years of progressively responsible experience in program management, research
-
stipends, domestic and international program payments, student reimbursements, and disbursements from the Study Abroad Emergency Fund for Odyssey Scholars. Communicates with international and domestic
-
engagement goals with the mandate to oversee enabling infrastructure of the University including the built environment, technology, and human resources organizations. In support of faculty, students, and staff
-
: --- Preferred Qualifications Education: Bachelor's degree in economics, statistics, computer science or related field. Master’s degree in economics, statistics, computer science or related field. Experience
-
. Salesforce experience preferred. Technical Knowledge or Skills: Demonstrated skill and knowledge of, or ability to learn quickly, the internal workings of the University as well as the technology tools
-
, extensive fringe benefits (including supplements for health insurance and retirement) and a structured career development program. https://obgyn.uchicago.edu/research/lengyelkenny-ovarian-cancer-laboratory
-
with common tools of behavioral science research, such as Qualtrics, and in statistical analysis, such as R, SPSS, and SAS. Programming and technical skills related to conducting computer and web-based