Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Technical University of Munich
- UNIVERSITY OF VIENNA
- University of Maryland
- Argonne
- Baylor University
- Chalmers University of Technology
- Chinese Academy of Sciences
- Drexel University
- Durham University
- ETH Zurich
- European Magnetism Association EMA
- Johann Radon Institute for Comp. and Applied Mathematics
- King Abdullah University of Science and Technology
- Los Alamos National Laboratory
- Nanjing University of Information Science and Technology
- Nature Careers
- New York University
- Pacific Institute for the Mathematical Sciences
- Princeton University
- SciLifeLab
- Sun Yat-Sen University
- Technical University of Denmark
- Texas A&M University
- Umeå University
- University College Cork
- University of British Columbia
- University of Groningen
- University of North Carolina at Chapel Hill
- University of Oxford
- University of Texas at El Paso
- University of Vienna
- Westlake University
- 22 more »
- « less
-
Field
-
differential equations, computational fluid dynamics, material science, dynamical systems, numerical analysis, stochastic analysis, graph theory and applications, mathematical biology, financial mathematics
-
, Python, Julia, or MATLAB Knowledge in numerical methods and simulation, particularly for partial differential equations and finite element methods Basic understanding of mathematical modeling with and/or
-
/or their active counterparts. • To perform direct numerical simulations of the continuum partial differential equations of fluid dynamics, solid mechanics, soft matter or active matter
-
computationally challenging. To address this, our research employs advanced computational methods to simplify high-fidelity 1-D hydrodynamic models based on Partial Differential Equations (PDEs). This approach
-
to produce optimal designs. Applicants should have skills in modelling, familiarity with partial differential equations, and be familiar with python. They will have, or be close to completing, a PhD in
-
inherently problematic numerically. Secondly, the differential equation used to evolve a magnetic system forward in time might be stiff, thus requiring special numerical techniques. You will research and
-
. The faculty members’ research covers a broad range of areas, including scientific computing, algebra and number theory, differential equations and dynamic systems, statistics and data science, etc. More than
-
architectures and training algorithms, uncertainty quantification, high-dimensional stochastic systems and high-dimensional partial differential equation systems. Multiple positions available. About the T-5 Group
-
element discretizations of partial differential equations. The postdoctoral researcher will work with the principal investigator, Dr Robert Kirby, and a team of students seeking to develop new features
-
dynamical systems theory, including differential equations, simulation techniques, state-space and input-output representations, time-delay embedding, and/or time series analysis from experimental data