Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- Portugal
- Germany
- Sweden
- United Kingdom
- Norway
- Poland
- Austria
- Netherlands
- Luxembourg
- Spain
- United Arab Emirates
- Belgium
- Czech
- Denmark
- Singapore
- Switzerland
- Italy
- Japan
- Australia
- Romania
- Canada
- Saudi Arabia
- Estonia
- Finland
- Hong Kong
- Iceland
- Ireland
- Andorra
- Armenia
- China
- Croatia
- Morocco
- Slovakia
- Taiwan
- Uzbekistan
- Worldwide
- 28 more »
- « less
-
Program
-
Field
- Computer Science
- Economics
- Medical Sciences
- Engineering
- Mathematics
- Science
- Biology
- Materials Science
- Law
- Business
- Education
- Environment
- Chemistry
- Psychology
- Arts and Literature
- Physics
- Earth Sciences
- Linguistics
- Social Sciences
- Electrical Engineering
- Sports and Recreation
- Humanities
- Philosophy
- 13 more »
- « less
-
particular, it should relate to one or more of the following areas: theory for spatial discretisations of PDEs, analysis and design of domain decomposition methods, numerical analysis for stochastic PDEs
-
3D lattice and architected structures can now be fabricated, but their design space remains extremely large and difficult to explore using traditional methods. This project will combine experimental
-
. Work plan: To develop numerical methods to collect and process experimental data. Legislation framework: Research Fellowship Holder Statute, in accordance with Law 40/2004, of 18 August, in its current
-
and with the 2AT team at Institut Pprime to develop a shape-optimisation tool based on resolvent analysis, applied to landing-gear aeroacoustics The researcher will develop a numerical methodology based
-
evaluation of modal-decomposition techniques applied to data from high-fidelity numerical simulations of landing-gear aeroacoustics. The researcher will develop and implement modal-decomposition methods using
-
simulation of time dependent non-linear PDEs has emerged as a key technology. A main task of this employment is the development and analysis of numerical methods for wave propagation problems. Particular focus
-
(HAC). This role focuses on applying advanced computational and analytical methods—including artificial intelligence, machine learning, deep learning, time-series modeling, and large language models
-
decisions, including judgment on sensitive and confidential matters. Knowledge of business English and arithmetic, as well as general office methods, procedures, and practices. Ability to plan, develop
-
, and general office methods, procedures, and practices. Ability to read and write at a level appropriate for the duties and responsibilities of the position. Ability to gather data, compile information
-
Efficient and Reliable Numerical Solution of Dynamic Optimization School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Yuanbo Nie Application Deadline: Applications