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
- Luxembourg
- Italy
- Romania
- Australia
- Canada
- Estonia
- Finland
- Morocco
- China
- Czech
- 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
- Law
- Earth Sciences
- Chemistry
- Education
- Environment
- Social Sciences
- Arts and Literature
- Linguistics
- Psychology
- Physics
- Electrical Engineering
- Humanities
- Sports and Recreation
- Design
- Philosophy
- 14 more »
- « less
-
systems, including methods for colloid characterization Spatially resolved surface analysis using interference microscopy and autoradiography Derivation and parameterization of mechanisms Interdisciplinary
-
Centre Euopéen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS) | Toulouse, Midi Pyrenees | France | 13 days ago
Calcul Scientifique) is a private research organization developing advanced methods for the numerical simulation and the algorithmic solution of large scientific and technological problems of interest
-
Offer Description This project investigates vibration-based methods for monitoring the structural health of deep underground tunnels throughout their lifetime. Structural Health Monitoring (SHM) based
-
involves mathematical modeling and numerical simulation, but also the analysis of experimental datasets for model validation. Your Profile: A Masters degree with a strong academic background in physics
-
extrapolation based on the principle of geometric similarity and the choice of an invariant. Using this method therefore requires precise knowledge of the phenomena involved. As concerns numerical methods, while
-
candidate with a strong background in some aspect of numerical analysis for PDEs and an interest in scientific machine learning and probabilistic methods, who enjoys working in collaborative inter
-
design scalable numerical methods for quantum master equations, implement high-performance simulations, and help build open-source tools for large-scale spin-system modeling. By improving our ability
-
for an additional year. This fellowship will support an emerging scholar whose work uses interdisciplinary methods grounded in Art History to chart new pathways for the field. Area of expertise is open but should
-
equations, Bayesian inference, large-scale computational methods, bioinformatics, data science, machine learning, optimisation, numerical methods. Please read more about the position and our department on our
-
Tensorflow or Pytorch is advantageous Experience in numerical methods for partial differential equations is beneficial Effective communication skills and an interest in contributing to a highly international