231 computing "https:" "https:" "https:" "Genentech" positions at NEW YORK UNIVERSITY ABU DHABI
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
Description The New York University Abu Dhabi Center for Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) and Computational Approaches to Modeling Language (CAMeL) Lab seek
-
until the position is filled. About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major
-
. Applications will be accepted immediately and candidates will be considered until the position is filled. Please visit our website at http://nyuad.nyu.edu/en/about/careers/faculty-positions.html
-
Dhabi, United Arab Emirates. About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major
-
Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher
-
https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education
-
questions, please email Dr. Tarek Abdoun at tarek.abdoun@nyu.edu . About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to
-
academic and industry partners. Researchers at NYU Abu Dhabi benefit from access to state-of-the-art facilities, including advanced polymer characterization equipment, high-performance computing
-
and interests, and at least two letters of recommendation, all in PDF format. Please visit our website at http://nyuad.nyu.edu/en/about/careers/faculty-positions.html for instructions and information
-
Description The Clinical Artificial Intelligence Lab at NYU Abu Dhabi seeks to improve patient care by developing new machine learning methodologies that tackle unique computational problems in