Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Oslo
- Auburn University
- Nanyang Technological University
- University of Bergen
- Australian National University
- Czech Technical University in Prague
- George Mason University
- NYU Shanghai
- National Center for Theoretical Sciences
- Oak Ridge National Laboratory
- Ryerson University
- University of Northern British Columbia
- 2 more »
- « less
-
Field
-
highly motivated candidates for a Postdoctoral Fellow position to work on research in the areas of systems of differential equations (ordinary differential equations, fractional differential equations
-
in numerical analysis, partial differential equations (PDEs), and scientific computing. Solid background in machine learning theories, with specific experience in Physics-Informed Machine Learning
-
of the following subjects: Number Theory and Representation Theory Algebraic Geometry Differential Geometry and Geometric Analysis Differential Equations Scientific Computing Interdisciplinary Studies Analysis and
-
of homological mirror symmetry - Advised by Dr. Michael Brown Research focus in differential geometry, geometric analysis, and partial differential equations. – Advised by Dr. Xiaolong Li Minimum Qualifications
-
for differential equations and control. Evidence of research excellence and potential for high-impact publications. Strong communication skills and the ability to work both independently and as part of a team
-
Responsibilities: The candidate will study theoretically forward and inverse uncertainty quantification problems for partial differential equations, and multiscale partial differential equations. He/she will develop
-
with East China Normal University. The areas of expertise of possible mentors in the group are mainly Probability Theory, Partial Differential Equations, Fluid Dynamics, and Applied Mathematics. However
-
modelling, stochastic (partial) differential equations, filtering and control, computational methods for stochastics. Taking a view towards applications, the group is well involved in areas of economy and
-
equations, stochastic partial differential equations, stochastic mean-field equations, stochastic control and filtering, stochastics for data analysis and machine learning. These areas will be prioritized
-
, and partial differential equations. The findings will be published in peer reviewed journals and presented by the postdoc at research conferences, workshops, and outreach events. Candidates should