Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Germany
- Portugal
- United Kingdom
- France
- Sweden
- Poland
- Norway
- Netherlands
- Belgium
- Austria
- Denmark
- Spain
- United Arab Emirates
- Singapore
- Switzerland
- Italy
- Luxembourg
- Romania
- Australia
- Czech
- Estonia
- Finland
- Morocco
- Canada
- China
- Japan
- Brazil
- Croatia
- Ireland
- Lithuania
- Saudi Arabia
- Slovenia
- 23 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Mathematics
- Science
- Biology
- Materials Science
- Business
- Earth Sciences
- Law
- Chemistry
- Environment
- Education
- Linguistics
- Arts and Literature
- Psychology
- Social Sciences
- Physics
- Electrical Engineering
- Humanities
- Sports and Recreation
- Design
- Philosophy
- 14 more »
- « less
-
matrix prepared by PIP must allow for optimal gas permeability. Objectives and Methods ------------------------- This study aims to investigate the infiltration of porous matrices obtained by PIP using
-
-form optical fibers for information systems" will perform the following tasks: - Design and modeling of optical fibers. - Participation in the development of new numerical methods for modeling special
-
a multidisciplinary problem centered around computational mechanics and engineering, potentially involving (i) multiphysics problems, (ii) multiscale methods, (iii) uncertainty quantification and (iv
-
approximation algorithm, using linear programming methods. Over the next years, the project will grow to a collaborate team of 4-5 PhD students and Postdocs. The successful candidate will work directly with the
-
particular in numerical methods for CFD and their programming. Other academic merits as participation in congresses or research workshops, awards, research contracts and collaboration scholarships will be
-
series. Linear Algebra: Matrices, vector spaces, linear systems, eigenvalues. Numerical Methods: Numerical solution techniques for material modeling. Functional Analysis: Hilbert spaces and operators
-
Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
of the following areas: Large-deformation numerical modeling (e.g., Coupled Eulerian-Lagrangian (CEL), Material Point Method (MPM), or advanced Finite Element Methods). Physical modeling of tunnel
-
at the intersection of numerical linear algebra and advanced HPC. The candidate will join an international environment, with opportunities to collaborate with experts from the USA, and KAUST and publish in top-tier
-
of biomathematics, biostatistics, spatial modeling, differential equations, Bayesian inference, large-scale computational methods, bioinformatics, data science, machine learning, optimisation, numerical methods
-
are decreasing with propagating distance). Predicting waves propagation characteristics (velocities and attenuations) in MCs thus necessitates the use of efficient numerical methods which are at the hearth