Sort by
Refine Your Search
-
-relationships, materials optimization, materials under extreme conditions, and generative AI. Candidates must possess substantial experience in artificial intelligence and machine learning methods, specifically
-
Science, or Information Science, with no more than five years post receipt of the PhD. The position requires experience with at least one of the following: Data Science, Machine Learning, Computational Social Science, Big Data
-
and tools. The lab website is http://www.camel-lab.com/ . Google Scholar of the lab is at http://scholar.camel-lab.com/ . The position will target the rank of Post-Doctoral Associate (within less than 5
-
developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health
-
Post-Doctoral Associate in the Division of Engineering (Mechanical Engineering) - Dr. Mohammed Daqaq
and experimental, in the broad field of nonlinear mechanics. Preference will be given to applicants with expertise in machine learning, wave propagation, metamaterials, and/or fluid–structure
-
Description The Energy and Propulsion Laboratory (https://wp.nyu.edu/jryu ) in the Division of Engineering, New York University Abu Dhabi, seeks to recruit a Postdoctoral Associate or Associate
-
. Tarek Abdoun at [email protected] 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
-
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
-
interests, transcript, and three letters of reference, all in PDF format. If you have any questions, please email [email protected] (Ken-ichiro Kamei, laboratory PI). About NYU Abu Dhabi https://nyuad.nyu.edu
-
establishment in 2014, the CAMeL Lab has produced over 200 publications and 20 language resources and tools. The lab website is http://www.camel-lab.com/ . Google Scholar of the lab is at http://scholar.camel