Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
129188, United Arab Emirates [map ] Subject Areas: Probabiltiy, Computer science, artificial intelligence Appl Deadline: 2025/09/30 11:59PM (posted 2025/07/29, listed until 2026/01/29) Position
-
language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern AI systems This position can be filled
-
Science, Electrical Engineering, Artificial Intelligence, or a related discipline. Strong interest in 3D computer vision and machine learning methods. Proficiency in Python and experience with deep learning frameworks
-
) on behalf of the University in collaboration with sponsors and collaborators. Conduct thorough analyses of research grants and agreements received for negotiation or execution, methodically examining each
-
aims to identify biomarkers in the eye and brain that explain vision loss, building on our previously-developed method linking clinical, neural and behavioral data (Allen et al., 2018; Miller et al
-
extensive knowledge in CE courses such as Solid Mechanics, Probability and Statistics, Structural Analysis, Transportation Engineering, Numerical Methods, Geotechnical Engineering, and Environmental
-
Description Quantum & Spin Lab in the Chemistry Program within the Division of Science at New York University Abu Dhabi (NYUAD), is seeking a highly motivated and skilled Post-doctoral Associate
-
for a tenure-track position in the Control systems and intelligent decision-making within the Electrical Engineering (EE) program. Emphasis will be given in: a) Machine and Reinforcement Learning
-
of the requested profile will entail development and optimization of chromatographic methods and protocols for fractionation, separation and identification by mass spectrometry of hydro-soluble and lipo-soluble
-
(UF), membrane distillation (MD), and nanofiltration (NF) processes. The role involves advanced membrane fabrication techniques and a range of membrane characterization methods, such as SEM, EDS, TGA