Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
your ranked top choices of courses for the Winter 2027 semester by uploading the completed TA application form to your application in Workday: https://www.mcgill.ca/hr/files/hr/1_
-
quantification, and rigorous methods for differential equations and scientific machine learning; geometric deep learning, manifold learning, equivariant methods, high-dimensional geometry, and
-
quantification, and rigorous methods for differential equations and scientific machine learning; geometric deep learning, manifold learning, equivariant methods, high-dimensional geometry, and
-
Mathjobs.org | 27 days ago
, high-dimensional geometry, and structure-aware learning; and the mathematical foundations of trustworthy AI, including stability, robustness, verification, interpretability, and generalization
-
, high-dimensional geometry, and structure-aware learning; and the mathematical foundations of trustworthy AI, including stability, robustness, verification, interpretability, and generalization
-
University of Amsterdam (UvA) | Amsterdam, Provincie Noord-Holland | Netherlands | about 2 months ago
of mathematics, including measure theory, number theory and algebraic and complex geometry. As a PhD student in this project, you will start working in this area of research under the supervision of
-
Mathjobs.org | 27 days ago
Mathematics program currently has seven full-time faculty members, with interests that include scientific computing, algebraic geometry, combinatorics, computational topology, and large data set analysis
-
Mathematics program currently has seven full-time faculty members, with interests that include scientific computing, algebraic geometry, combinatorics, computational topology, and large data set analysis
-
quantification, and rigorous methods for differential equations and scientific machine learning; geometric deep learning, manifold learning, equivariant methods, high-dimensional geometry, and structure