Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
develop and analyze mathematical models and algorithms that connect partial (and/or stochastic) differential equations, infinite-dimensional optimization, and statistical machine learning. The goal is to
-
Deep Learning algorithms for the numerical solution of Partial or Stochastic Differential Equations (PDES or SDEs) that arise in finance and economics. Specifically, highly complex problems involving
-
on the analysis and simulation of nonlinear partial differential equations arising in the context of interacting species study of interaction systems with applications to developmental biology, such as pattern
-
, Stochastic Differential Equations and Stochastic Processes, Partial Differential Equations and Industrial Mathematics, Topology and Dynamical Systems, Statistics and Applied Statistics, Numerical Analysis
-
framework for quantum mechanics. The researcher is expected to make contributions in the fields of functional analysis, complex analysis, spectral theory, and partial-differential equations, but also
-
, Stochastic Differential Equations and Stochastic Processes, Partial Differential Equations and Industrial Mathematics, Topology and Dynamical Systems, Statistics and Applied Statistics, Numerical Analysis
-
spectroscopy is highly beneficial Experience with and knowledge of mathematical modeling techniques (numerical solution of Partial Differential Equations) Programming and data analysis in Python Language
-
equipment, mass-spectrometry, catalytic reactors and/or gas-flow systems is highly beneficial Experience with and knowledge of mathematical modeling techniques (numerical solution of Partial Differential
-
theory, dynamical systems, geometry, algebra, analysis and partial differential equations, applied mathematics and numerical analysis. The Department seeks to advance its robust agenda of research
-
both pure and applied mathematics with groups in number theory, dynamical systems, geometry, algebra, analysis and partial differential equations, applied mathematics and numerical analysis