Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Field
-
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
-
structural and algorithmic graph theory. The purpose of the role is to contribute to the project “Algorithmic meta-classifications for graph containment”, working with Professor Matthew Johnson, Dr Barnaby
-
Ramsey Theory and Graph Packing. Another example of the interplay between algorithms and combinatorics arises in the context of graph packing. See the following paper: https://epubs.siam.org/doi/abs
-
mathematics or a closely related field is strongly preferred by the date of appointment. Applicants should have expertise in geometry, topology, and/or number theory and a demonstrated commitment to and
-
, in a large variety of fields including defence, astronomy, art investigation, or medicine. Our research activities range from signal and image processing theory to application, and impact different
-
has a strong PhD program in Applied Mathematics, Applied Statistics, Graph Theory/Combinatorics, and Analysis, featuring active research collaborations both within the University and with external
-
. 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
-
: Enrollment in a Master's or PhD program for Mathematics or related field Familiarity with math software/tools (e.g., MATLAB, graphing calculators, Microsoft Excel, R) Additional Information: This is a part
-
, 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
-
and Boulton, 1968; Wallace and Dowe, 1999a; Wallace, 2005) is a Bayesian information-theoretic principle in machine learning, statistics and data science. MML can be thought of in different ways - it