122 parallel-and-distributed-computing-phd-"Meta"-"Meta" positions at NEW YORK UNIVERSITY ABU DHABI
Sort by
Refine Your Search
-
, machine-learning model development, structural sensing and health monitoring, conducting physical experiments, and validation of computational models. Required Qualifications: A successful applicant must
-
collaborators. Qualifications Applicants must hold a PhD degree in electrical/electronics engineering, telecommunications or related field. Other requirements include Expertise in several areas among
-
position must have a Master and well-documented experience (at least 4 years), or a PhD in Chemistry, Pharmaceutical Chemistry or Biotechnology, and experimental skills in mass-spectrometry-based
-
must hold a PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field, with a strong publication record in AI-driven energy solutions. Proficiency in machine learning
-
environment alongside PhD-level engineers and scientists, graduate students, and full-time researchers. They will also have the chance to contribute to other projects within CENTMED, working on cutting-edge
-
Description The Applied Computational Engineering laboratory in the Division of Engineering, New York University Abu Dhabi, seeks to recruit a Research Associate to work on the numerical modeling
-
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
-
, cardiovascular, and neurologic diseases. These projects entail computational modelling, device design and manufacturing, optimization of chemical, mechanical, and electrical characteristics, and preclinical
-
Unmanned Aerial Vehicles (UAVs). RISC invites qualified applicants in the areas of electrical, computer, or mechanical engineering to apply. The successful applicant will primarily develop specialized UAVs
-
candidates with 5 years of post-PhD experience). The candidates will work under the supervision of Future-GRID TecH director Dr. Mohamed Moustafa to carry out cutting-edge research in the broad area of future