Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- Germany
- United Kingdom
- Portugal
- Sweden
- Belgium
- Netherlands
- Spain
- Poland
- Italy
- United Arab Emirates
- Denmark
- Norway
- Singapore
- Austria
- Luxembourg
- Switzerland
- Australia
- Czech
- Romania
- China
- Morocco
- Estonia
- Finland
- Hong Kong
- Japan
- Croatia
- South Africa
- Taiwan
- Brazil
- Canada
- Ireland
- Israel
- Bulgaria
- Greece
- Lithuania
- Mexico
- New Zealand
- Sao Tome and Principe
- Saudi Arabia
- 31 more »
- « less
-
Program
-
Field
-
/H2 flames in porous burners using direct numerical simulations (DNS) to understand NOx formation mechanisms. The research, in collaboration with CEA, will utilize the CFD code CONVERGE, employing
-
modeling and numerical methods Experience with multiphase flow modeling (e.g., TFM, CFD-DEM, DNS, LBM) Solid programming skills Experience working in Linux/HPC environments Ability to conduct independent
-
decision is made Strong background in computational modeling and numerical methods Experience with multiphase flow modeling (e.g., TFM, CFD-DEM, DNS, LBM) Solid programming skills Experience working in Linux
-
Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 21 hours ago
employment. Starting date: 01.05.2026 Job description:PhD Student (f/m/d) Dynamic Process Modelling and Value Chain Assessments for Sustainable Methanol from Renewable Energy With cutting-edge research in
-
. The work will consist of further developing existing published numerical models based on SILVACO software, in particular to integrate CIGS material properties, while verifying and validating existing
-
numerical models to improve the simulation of complex multiphase phenomena. The study will combine theory, algorithm development, and computational modeling, with the goal of advancing scalable hybrid
-
Electrode Assembly. J. Power Sources 2021, 512, 230431. https://doi.org/10.1016/j.jpowsour.2021.230431. ; [2] Carral, C.; Mélé, P. A Numerical Analysis of PEMFC Stack Assembly through a 3D Finite Element
-
field measurements and laboratory experiments Comparing and evaluating existing numerical models, including XBeach and Watlab (developed at UCLouvain/iMMC) Developing and implementing improved numerical
-
specimens. The postdoc will contribute to the development of hybrid modeling and identification approaches that combine classical constitutive frameworks, numerical simulation, and machine learning. The work
-
Proficiency in at least one programming language, preferably Python; experience with scientific computing, numerical modeling, or machine-learning frameworks is an asset Strong analytical skills with a solid