Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Portugal
- Germany
- France
- Spain
- Netherlands
- Sweden
- Denmark
- Italy
- Singapore
- Belgium
- Australia
- Norway
- China
- Canada
- Poland
- United Arab Emirates
- Austria
- Finland
- Switzerland
- Morocco
- Czech
- Hong Kong
- Ireland
- Luxembourg
- Japan
- Macau
- Romania
- Brazil
- Vietnam
- New Zealand
- Croatia
- Greece
- Lithuania
- Estonia
- India
- Taiwan
- Cyprus
- Andorra
- Israel
- South Africa
- Mexico
- Bulgaria
- Saudi Arabia
- Malta
- Latvia
- Worldwide
- Slovenia
- Europe
- Kenya
- Malaysia
- Germany / Finland
- Kyrgyzstan
- Sao Tome and Principe
- Ukraine
- 46 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Biology
- Engineering
- Science
- Business
- Mathematics
- Materials Science
- Psychology
- Education
- Chemistry
- Arts and Literature
- Environment
- Earth Sciences
- Social Sciences
- Humanities
- Law
- Linguistics
- Electrical Engineering
- Physics
- Sports and Recreation
- Philosophy
- Design
- Statistics
- 15 more »
- « less
-
field modeling of brittle fracture: Part I—Theory and simulations, Journal of the Mechanics and Physics of Solids, Volume 121, 2018, Pages 81-98, https://doi.org/10.1016/j.jmps.2018.07.010. [2] Lamia
-
Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
-
regional ocean/ice/biogeochemistry models (OBMs) applied to Arctic coastal seas, the properties of terrigenous sediments are rarely integrated into physical and biogeochemical processes. To address this gap
-
geomatics, spatial modelling and simulation, and model exploration and evaluation (OpenMole platform https://openmole.org/ ). The recruited individual will also work directly with the project's entomologists
-
-0831 Description of Work: At the Digital Twin Innovation Hub, we are developing infrastructure for the construction, simulation, analysis, and visualization of a human immune system model that represents
-
project aims to unravel the molecular mechanisms underlying these processes in lactating mammary epithelial cells. Using a cutting-edge lactation organoid model developed in our laboratory, combined with in
-
: • Foundational research on large-scale / foundation models and agentic architectures for autonomous social-science reasoning and planning. • AI Social Scientist / AI Historian research: causal reasoning methods
-
these autonomy and self-adaptation capabilities. Three major challenges have been identified: (P1) modelling uncertain environments where robust, weakly supervised machine learning algorithms can be deployed
-
Understanding and modeling material behaviour is central to many engineering challenges. This fully funded Doctoral student project, “Material Model Discovery from Physics-Encoded Neural Networks
-
Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modelling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative