Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Employer
-
Field
-
, tensor analysis, and network science to foster the professional development of team members. Qualifications and experience essential PhD in Applied Mathematics in the fields of Numerical Linear Algebra
-
accepted all year round Details In classical general relativity, Einstein’s equations involve the curvature of space-time on the left-hand-side, and the stress-energy tensor of matter on the right-hand-side
-
Daegu-Gyeongbuk Institute of Science and Technology, Global Basic Research Lab - Algebra and Geometry of Spaces of Tensors and Applications Position ID: 3672-PD [#27657] Position Title: Position
-
in high performance scientific computing, multi-linear algebra and tensor contractions for heterogeneous exascale architectures. The successful candidate will join the NumPEx PEPR to reinforce
-
with mathematical modeling and comfort with formal reasoning across algebraic, geometric, and analytic frameworks. A deep foundation in linear algebra, tensor calculus, and functional analysis; and the
-
were constructed. The results will be compared with those for a charged scalar field [2]. The second part of the project involves computing the renormalized expectation value of the stress-energy tensor
-
algorithms, mathematics of artificial intelligence, advanced optimization for decision making, matrix and tensor algebra, and the intersection of these areas. Close interaction with permanent research
-
algebras, tensor categories, lattice models of statistical physics, conformally invariant random processes, formalization of mathematics (preferably in Lean). The working language of the group is English
-
description The position is connected to the project “Bayesian Enhanced Tensor Factorization Embedding Structure (BETTER)”, and this PhD project specifically aims at developing a unified, scalable, and
-
connected to the project “Bayesian Enhanced Tensor Factorization Embedding Structure (BETTER)”, and this PhD project specifically aims at developing a unified, scalable, and interpretable framework for tensor