Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Technical University of Munich
- Argonne
- University of Maryland
- University of North Carolina at Chapel Hill
- Baylor University
- Chalmers University of Technology
- Charles University in Prague
- Chinese Academy of Sciences
- Chongqing University
- Durham University
- ETH Zurich
- European Magnetism Association EMA
- Johann Radon Institute for Comp. and Applied Mathematics
- King Abdullah University of Science and Technology
- Leibniz
- Los Alamos National Laboratory
- New York University
- North Carolina State University
- Pacific Institute for the Mathematical Sciences
- Princeton University
- SciLifeLab
- Sun Yat-Sen University
- Technical University of Denmark
- Texas A&M University
- UNIVERSITY OF VIENNA
- Umeå University
- University College Cork
- University of British Columbia
- University of Groningen
- University of Kansas
- University of Oxford
- University of South Carolina
- University of Texas at El Paso
- University of Vienna
- Westlake University
- 26 more »
- « less
-
Field
-
University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 28 days ago
for partial differential equations (PDEs). The Fellow will be responsible for designing, developing and implementing highly efficient, robust and stable numerical methods for mechanobiochemical models
-
Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
mathematics, or a related field Candidates should have expertise in two or more of the following areas: Uncertainty quantification, numerical solutions of differential equations, and stochastic processes
-
propagation problems, stochastic partial differential equations, geometric numerical integration, optimization, biomathematics, biostatistics, spatial modeling, Bayesian inference, high-dimensional data, large
-
; knowledge in numerical methods and simulation, particularly for partial differential equations, and basic knowledge in mathematical modeling with/and PDEs, with a focus on fluid or biomechanics, porous media
-
/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
-
, analytical differential equations) to tackle novel questions on eco-evolutionary dynamics in future scenarios of environmental change. Report results in scientific publication(s) and conference(s). Your
-
differential equations. • Basic knowledge in mathematical modeling with/and partial differential equations, with a focus on fluid or biomechanics, porous media. • Optional/advantageous: Experience with Lattice
-
arising from solid/fluid dynamics/geomechanics, and numerical methods for partial differential equations, especially finite difference methods and finite element methods, both theory and applications. A
-
Differential Equations, and Graph Neural Networks. The objective is to measure and predict evolutionary forces and spatial cell interactions in healthy versus cancerous tissues, ultimately identifying
-
, United States of America [map ] Subject Area: Numerical Methods for Partial Differential Equations Appl Deadline: (posted 2024/10/31, listed until 2025/04/03) Position Description: Apply Position Description Applications