Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Portugal
- France
- United Kingdom
- Germany
- Sweden
- Norway
- Netherlands
- Poland
- Singapore
- Spain
- Belgium
- Denmark
- Italy
- Australia
- Finland
- United Arab Emirates
- Austria
- Ireland
- Luxembourg
- Czech
- Switzerland
- Estonia
- Romania
- Japan
- Morocco
- China
- Canada
- Latvia
- Brazil
- Lithuania
- Greece
- Croatia
- Cyprus
- Hong Kong
- Israel
- Andorra
- Iceland
- India
- Mexico
- Taiwan
- Vietnam
- Europe
- Malta
- Sao Tome and Principe
- Saudi Arabia
- Slovakia
- Slovenia
- 38 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Economics
- Science
- Biology
- Materials Science
- Mathematics
- Business
- Chemistry
- Education
- Psychology
- Electrical Engineering
- Earth Sciences
- Environment
- Law
- Arts and Literature
- Physics
- Humanities
- Linguistics
- Social Sciences
- Philosophy
- Sports and Recreation
- 13 more »
- « less
-
AMMETIS[1] (AI-assisted Simulations of Microstructure driven MEchanical properties from high Throughput and multiscale analysIS), in the framework of PEPR DIADEM[2] , which aims to develop an advanced
-
(ALD) reactors. The range of simulations focuses on finite element methods and can include Monte Carlo based simulation approaches and continuum modelling. Verification of simulation results against
-
National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 4 hours ago
assimilation Integration (JEDI) framework for atmospheric data assimilation Develop machine learning foundation models based on simulated observations from high fidelity atmospheric simulations for developing
-
quantification of pigments and binders. The work will include the generation of simulated spectral data based on physical models, the training and optimization of machine learning models, and their validation
-
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
-
) models developed within the team. LES Development & Application: Implement and extend open-source LES codes to simulate diverse ABL scenarios, including varying stability, shear, and turbulence intensities
-
that explicitly couple ultrasound-induced membrane mechanics with neuronal electrophysiology. The research fellow will implement and extend conductance-based neuron models in established simulation environments
-
, 2024). It will finish with the creation of a new state-of-the-art: the first 3D MHD-beam solar flare simulations. The models created will also calculate the outward flux and spectra of non-thermal
-
Computationally efficient modelling & simulation and applications School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Lingzhong Guo Application Deadline: Applications
-
and will contribute to key modeling and simulation deliverables for drug candidates across early and late stages of clinical development, spanning multiple therapeutic modalities. The Fellows will