Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
the group's core research areas, and a proven ability to conduct independent, high-impact research. Experience in cybersecurity for cyber-physical systems, digital twins, BIM, AI and machine learning
-
-physical systems, digital twins, BIM, AI and machine learning, robotics, or digital construction technologies is highly desirable. Strong programming and analytical skills, excellent written and verbal
-
-controlled subsystems. Hands-on expertise in one or more of the following areas: optical systems, lasers, spectroscopy, quantum optics, spin physics, magnetic resonance, precision measurement, electronics
-
and developing a machine perfusion system to improve organ preservation. The candidate will work in a dynamic, multidisciplinary environment alongside PhD-level engineers and scientists, graduate
-
Post-Doctoral Associate in the Division of Engineering (Mechanical Engineering) - Dr. Mohammed Daqaq
to applicants with expertise in machine learning, wave propagation, metamaterials, and/or fluid–structure interactions. Applicants must hold a Ph.D. in Mechanical Engineering or a closely related discipline, with
-
in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other
-
and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents. NYUAD is
-
. The position requires experience with at least one of the following: Data Science, Machine Learning, Computational Social Science, Big Data. Relevant skills could include statistical analysis, data management
-
the prospective postdoc candidate. The post-doctoral associate will spend half their time on independent research, and half their time on collaborative research with Professors Alaïs Martin-Baillon, Jordan Norris
-
must possess substantial experience in artificial intelligence and machine learning methods, specifically in AI-driven materials discovery, machine learning applications for materials, or generative AI