64 parallel-computing-numerical-methods Postdoctoral positions in United Arab Emirates
Sort by
Refine Your Search
-
machine learning. The successful applicant will participate in research involving human computation, knowledge discovery, machine learning, and data science. The position will provide the opportunity
-
Description The New York University Abu Dhabi Computational Approaches to Modeling Language (CAMeL) Lab seeks to hire a post-doctoral researcher to work in any of the lab research areas, to be
-
Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
Geotechnical Engineering, Civil Engineering, or a related field, and should demonstrate strong expertise in at least two of the following areas: Large-deformation numerical modeling (e.g., Coupled Eulerian
-
Experience in machine-learning modeling for solid mechanics applications Experience in the development and coupling of numerical methods for solid mechanics modeling Post-Doctoral Associate Employment at NYUAD
-
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
-
(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
-
power (CSP) systems optimization, computational heat transfer and radiative transport using sophisticated numerical modeling and machine learning approaches for forward and inverse problems in radiation
-
perspectives on large 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
-
methods (e.g., EIS, CV) and surface functionalization. Knowledge of materials for charge transport and ion exchange. Prior collaboration with international or multidisciplinary research teams. This position
-
infrastructure monitoring, as well as connected autonomous vehicles Integrating multi-modal sensor data with physics-based models Developing robust and adaptive methods for real-time parameter and state estimation