Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Employer
- University of Oslo
- Korea Institute for Advanced Study
- Princeton University
- Auburn University
- Edith Cowan University
- European Space Agency
- Heriot Watt University
- Marquette University
- NEW YORK UNIVERSITY ABU DHABI
- New York University of Abu Dhabi
- Technical University of Munich
- The Chinese University of Hong Kong
- The Hebrew University of Jerusalem
- Umeå University
- University of Bergen
- Western Norway University of Applied Sciences
- 6 more »
- « less
-
Field
-
Division, New York University Abu Dhabi, seeks to recruit a post-doctoral associate to work on one or more of the following topics: Mathematical Physics, Spectral Theory, Quantum Chaos, Large Graphs and
-
, laying the foundations of next generation machine learning. We do this by combining the mathematical and computational cultures, and the methodologies and theories, of statistics, logic, language
-
. Proficiency in programming languages, compilation techniques and optimizations. Proficiency in C, C++, and/or Rust. Merits: Experience with e-graphs. Familiarity with theory and algorithms used by, for example
-
to implement and optimize AI/ML models for biomedical datasets. Preferred Knowledge, Skills and Abilities Mathematical Modeling: Strong foundation in numerical modeling, graph theory, and statistics. Algorithm
-
project bridges two foundational fields in computer science and mathematics: Theory of Algorithms and Extremal Combinatorics. By integrating these areas, the project seeks to develop innovative
-
Physics, Spectral Theory, Quantum Chaos, Large Graphs and Quantum Walks. Related areas such as Quantum Information can also be considered. This position is offered through the research funds of Mostafa
-
in the following areas: Deep Learning, Scientific Machine Learning, Stochastjc Gradiant Descent Method, and Numerical PDE’s - Advised by Dr. Yanzhao Cao Probabilistic Graph Theory (Network Traversal
-
Engineering and Mathematical Sciences at Western Norway University of Applied Sciences, has a vacancy for a research fellow (PhD position) for a period of 4 years, in data-driven techniques for improving energy
-
. Your qualifications An excellent PhD degree either in Computer Science, Physics, Mathematics or related fields, ideally with a background in quantum theory, quantum computing or quantum machine learning
-
theory, and game theory. Scientific responsibilities: Propose and conduct novel research in computer science and applied mathematics, collaborating where appropriate with universities in ESA Member States