Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- France
- Portugal
- United Arab Emirates
- Sweden
- Belgium
- Netherlands
- Poland
- Austria
- Spain
- Denmark
- Italy
- Norway
- Luxembourg
- Switzerland
- Australia
- Singapore
- China
- Czech
- Japan
- Canada
- Finland
- Morocco
- Romania
- Hong Kong
- Estonia
- Israel
- Brazil
- Croatia
- Ireland
- Mexico
- Saudi Arabia
- Taiwan
- South Africa
- Chile
- Greece
- Iceland
- India
- Lithuania
- Slovenia
- 32 more »
- « less
-
Program
-
Field
- Medical Sciences
- Economics
- Computer Science
- Engineering
- Science
- Biology
- Mathematics
- Business
- Education
- Materials Science
- Arts and Literature
- Psychology
- Environment
- Social Sciences
- Chemistry
- Law
- Earth Sciences
- Linguistics
- Humanities
- Sports and Recreation
- Physics
- Electrical Engineering
- Design
- Philosophy
- 14 more »
- « less
-
& Modeling: Develop and simulate numerical models of damage and failure in aerospace structures, including FEA for metamaterials. Materials Design & Characterization: Study and optimize metamaterials and
-
. Project details: “NEw generation MEthods for numerical SImulationS – NEMESIS”, Grant Agreement No. 101115663, funded by the European Union, ERC Synergy Grant. CUP: D43C23003890006 Further information: https
-
of microwave hydrocarbon plasmas used notably for the conversion of methane into hydrogen. Thesis topic The work will focus on: the theoretical and numerical understanding of microwave methane plasmas leading
-
- such as blade/casing contacts - that are still only partially characterized today. The proposed Ph.D. project is part of a larger research program that aims at developing a numerical strategy for the
-
numerical methods for quantum many-body systems, (iii) correlated electronic structure theory, (iv) tensor network algorithms. Applications should be submitted by March 1, 2026 for full consideration
-
comparative insights that enhance research conclusions from Hope observations. Develop Machine Learning methods and run numerical simulations on NYUAD’s High-Performance Computing (HPC) system. Support
-
-following inverters. Implementing and optimizing scalable algorithms for transient and stability analyses on HPC architectures (CPU, GPU, hybrid). Enhancing the numerical robustness and efficiency of existing
-
Number AE2025-0515 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0515.pdf CALL FOR GRANT
-
Traveler. Pittsburgh offers exceptional school systems, numerous colleges/universities, cutting-edge technology, outdoor parks and recreation, cultural activities, and numerous sporting events, as
-
Grant(s) (RG) in the scope of R&D projects FireLSF - Development of predictive models for the fire resistance of light steel frame walls - an integrated experimental, numerical and machine learning