Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Portugal
- United Kingdom
- Sweden
- France
- Germany
- Norway
- Netherlands
- Spain
- Belgium
- Singapore
- Poland
- Denmark
- Italy
- Australia
- Morocco
- Luxembourg
- Switzerland
- United Arab Emirates
- Czech
- Romania
- Finland
- Lithuania
- Austria
- Ireland
- Japan
- Macau
- Estonia
- Canada
- China
- Brazil
- Greece
- Croatia
- Andorra
- Hong Kong
- Cyprus
- India
- Israel
- Latvia
- Malta
- Mexico
- Slovenia
- Taiwan
- Vietnam
- Worldwide
- Europe
- Sao Tome and Principe
- Saudi Arabia
- 38 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Economics
- Biology
- Science
- Materials Science
- Mathematics
- Business
- Chemistry
- Electrical Engineering
- Education
- Environment
- Earth Sciences
- Psychology
- Arts and Literature
- Physics
- Humanities
- Law
- Social Sciences
- Linguistics
- Philosophy
- Sports and Recreation
- 13 more »
- « less
-
water models for accurate and efficient simulation of free-surface flows. This includes model derivation, model analysis, and development and implementation of numerical methods. For more information, see
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 hour ago
-resolution fuel maps, and apply explainable AI techniques to interpret model behavior. These fuel products will be coupled with sstochastic fire spread simulators to quantify wildfire behavior (e.g., burn
-
continuum within the 2nd phase of CLICCS (https://www.cliccs.uni-hamburg.de/about-cliccs/cliccs-ll.html). In CLICCS-M4, we are further developing the unique ICON-Coast model within the ICON Earth System
-
address key challenges within these processes, constructing robust models and simulations that deepen the understanding of the underlying physics involved. The ultimate goal is to create predictive, physics
-
, graph neural networks, physics-informed ML) to approximate PF results Train models using simulation results generated from conventional power flow solvers Evaluate AI-based approximators in terms
-
and generative models, scale training on real data, and validate in simulation and with industry partners to advance safe, reliable automation. About us The Department of Computer Science and
-
for Catalysis and Organic Chemistry at the Department of Chemistry. The group has extensive experience in computational modelling, reaction mechanisms, and machine learning for catalyst design and discovery. Nova
-
Description The Industrial Informatics group at FEE/RICE is focused on the application of advanced optimization techniques to: i) design of new electro-mechanical devices using numerical simulations, ii) system
-
excellence of NTU and attracting interest of more industrial collaborators. Key Responsibilities: Develop a new and robust numerical model with lattice Boltzmann method to simulate flow and heat transfer with
-
-order modelling and high-fidelity simulations of turbulent reacting flows. You will have the opportunity of using cutting-edge facilities such as Imperial College HPC facilities. You will have access