286 parallel-and-distributed-computing-"Meta"-"Meta" positions at New York University
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
, academic and career counseling. Design and write marketing and informational materials for the program. Market and represent the program(s) to many constituencies, including prospective students, alumni
-
found at wp.nyu.edu/glover . Research at NYU Shanghai is supported by the Center for Computational Chemistry, a research institute operated jointly by NYU, NYU Shanghai, and East China Normal University
-
computational chemistry focus. Successful applicants will be highly motivated with an interest in working in Chemical/Structural Biology and must hold a Ph.D. degree in a related field (Chemistry, Biochemistry
-
the Computer Science Program of the Division of Sciences at New York University Abu Dhabi seeks to appoint a research assistant. Applicants with backgrounds in computer networks, web, internet measurements, satellite
-
NYU Shanghai-New York MSW program is looking for adjunct faculty members for the 2025-2026 academic year. We are seeking motivated professionals, professors, or researchers to teach MSW courses
-
to the diverse mosaic of cultures, languages, religions, and histories that shape Israel and the surrounding region. The Program Manager (PM) role will oversee bringing the initiative to life -- from planning
-
distribution piping, valves and controls throughout the NYU portfolio of properties. Perform housekeeping, painting, labeling etc on plant equipment and systems. Complete assigned tasks safely and efficiently
-
responsive and adept technical support structure to promote the effective use of technology in teaching, learning and research; work both individually and as part of a diverse and distributed technology
-
formation, intergroup relations, and the distribution of resources on online platforms. This is an excellent position for a computational social scientist or a computer/data scientist eager to transition
-
and manipulating complex data structures, Bayesian modeling, analyzing nested longitudinal data, and who are familiar with techniques for handling challenging data (e.g., highly non-normal distributions