242 parallel-computing-numerical-methods-"Prof"-"Eindhoven-University-of-Technology-(TU" positions in United Arab Emirates
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
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
-
will support cutting-edge projects in urban science, computational social science, and usability research. You’ll work closely with our team of Principal Investigators (PIs) to design and implement data
-
) Country United Arab Emirates Application Deadline 29 Oct 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
-
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
-
of interest include: structural 3D printing (metals, concrete, and composites) computational mechanics and structural topology optimization vision-based structural health monitoring autonomous and drone-based
-
. Available openings are at the Assistant, Associate and Full Professor ranks. As part of a major multi-year growth plan and to support the launch of a Master’s program in Interdisciplinary Data Science and AI
-
18 Sep 2025 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Computer science Engineering Engineering Researcher Profile Recognised Researcher (R2) Established
-
osteointegration. This will involve surface modification of implants through methods such as plasma treatment, silanization, and the application of specialty coatings to impart corrosion resistance. Additionally
-
primarily research on Reinforcement Learning, and/or Optimal Control, and/or Model Predictive Control. RISC invites qualified applicants in the areas of electrical, computer, or mechanical engineering, or
-
focuses on the rigorous statistical and probabilistic foundations of machine learning and data science. We emphasize computational methods for large-scale data and scalable inference techniques. Our current