Sort by
Refine Your Search
-
About the Role The position is funded through the EPSRC project “Zeros, Algorithms, and Correlation for graph polynomials”. We study various combinatorially defined polynomials such as the
-
/or Korte), 3. Conformal deformations of metric measure spaces and/or general regularity and convergence for graph-based machine learning using stochastic game theory and theory of metric spaces (with
-
expertise: A PhD in Computer Science or a closely related field, with specialization in Quantum computing and Graph theory In this role, you will be responsible for conducting research on graph theoretic
-
programming languages such as Mathematica. 4. Advanced knowledge of mathematical tools and basic knowledge about classical networks including graph theory highly appreciated. 5. High motivation to conduct
-
and optimization, we use tools such as artificial intelligence/machine learning, quantum conputing, graph theory, graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
-
for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 20 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
-
theory, and spectral graph theory. The Posdoc will be supervised by Anurag Bishnoi. You will have the opportunity to collaborate with Postdocs, PhD candidates, and other faculty members of the research
-
Quantum computing and Graph theory In this role, you will be responsible for conducting research on graph theoretic approaches to design quantum photonic experiments. Additionally, the position involves