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
- University of Cambridge
- University of South Carolina
- Western Norway University of Applied Sciences
- 8 more »
- « less
-
Field
-
, computational fluid dynamics and material science, dynamical systems, numerical analysis, stochastic problems and stochastic analysis, graph theory and applications, mathematical biology, financial mathematics
-
the area of mathematical foundations of data science, AI, Graph Theory, Optimization, Probability Theory in a broader sense. The candidates are expected to contribute to synergistically bridging important
-
expected to: Investigate how logical and philosophical theories can support the structuring and modelling of knowledge in practical contexts. Participate in the development of IMF by bringing in methods from
-
Shai Evra Graph theory, representation theory, number theory Yoel Groman Symplectic Geometry Adi Glucksam Complex analysis, Potential theory, and Dynamics Or Hershkovits Geometric Analysis
-
modelling, and artificial intelligence. The postdoc will contribute to both the theoretical and applied dimensions of the IMF initiative and is expected to: Investigate how logical and philosophical theories
-
processes, Bayesian inference, signal models, sampling theory, sensing techniques, optimisation theory and algorithms, multi-modal data processing, high-performance computing, mathematical image analysis
-
understanding (or be capable of rapidly obtaining a good understanding) of concepts from discrete mathematics in relation to graph theory, Boolean function theory and related topics. An interest in applying
-
Cryptography o Data Sciences, Complex Networks, Mathematical Biology o Quantum Computation & Information Science o Post-Quantum Cryptography, Homomorphic Encryption and Computing o Theoretical and Computational
-
, Algorithm, Extremal Graph Theory, Computing Theory o Programming Language, AI Theory or Machine Learning o Classical and Quantum Algorithm for Computational Quantum Many-body Theory o Theory and Computation
-
, or applications. (2) Proven engineering expertise: Hands-on experience transforming the theory into scalable production systems, backed by patented innovations. (3) A proven research record in mathematical AI (e.g