Sort by
Refine Your Search
-
academic mission, teach a graduate-level research seminar at ISAW, and teach one undergraduate course in an NYU department each academic year. They are expected to be in residence at the Institute during
-
, and programming. Responsibilities The selected candidate will have a bachelor's degree (M.S., MBA, M.A., PhD or equivalent graduate degree in information science / engineering / electronics or related
-
Program is seeking a local, part-time instructor to teach an undergraduate course that will explore the paths to entrepreneurial success in the music business. The course will be under the sponsorship
-
live self-determined lives. NYU's Prison Education Program (PEP) aims to expand access to higher education with communities impacted by the criminal legal system. Through PEP, faculty across NYU teach
-
the course, and computer-based data analysis is integrated into it. Students will be introduced to the basic principles of statistical computing analytic software. The course will emphasize statistical theory
-
to work independently, and as part of a team. Desired Skill: Strong oral and presentation skills. Experience in bioinformatics applications and next-generation sequence data analysis Machine learning
-
University is seeking a part-time science instructor to teach at least one section of History of the Universe in AY 2024-25. Successful candidates will be contacted on an as-needed basis to fill section
-
week of September (except Monday sections, which begin Sept 8) and conclude the first week of December. Qualified applicants will have an advanced degree in statistics or a related field (PhD preferred
-
Wednesdays from 11:00am to 1:40pm. Compensation depends on level of experience. Qualified applicants will have an advanced degree in statistics or a related field (PhD preferred). Previous experience teaching
-
: Wednesdays, 2:00?4:40pm, Sept 3 ? Dec 10, 2025 Mondays, 4:55?7:35pm, Sept 8 ? Dec 8, 2025 Qualified applicants will have an advanced degree in statistics or a related field (PhD preferred). Previous experience