Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- France
- Portugal
- Germany
- Sweden
- Netherlands
- Norway
- Spain
- Belgium
- Denmark
- Italy
- Singapore
- Australia
- Morocco
- Ireland
- Finland
- Luxembourg
- Switzerland
- Canada
- Poland
- China
- Czech
- Austria
- Japan
- Estonia
- Hong Kong
- Brazil
- United Arab Emirates
- Vietnam
- Andorra
- Macau
- Malta
- Saudi Arabia
- Slovakia
- Barbados
- Bulgaria
- Iceland
- Latvia
- Slovenia
- 30 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Science
- Materials Science
- Mathematics
- Earth Sciences
- Chemistry
- Business
- Environment
- Humanities
- Arts and Literature
- Psychology
- Law
- Linguistics
- Physics
- Social Sciences
- Electrical Engineering
- Sports and Recreation
- Education
- Design
- Philosophy
- 14 more »
- « less
-
of the complex physics governing the interaction between the heat source and the material. Additionally, it seeks to develop an efficient modelling approach to accurately predict and control the temperature field
-
preparation and testing or powder mixtures, and then to devise predictive models (possible using machine learning approaches) for the estimation of mixture properties from pure component propeties. The PhD
-
puzzling, as classical models predict progressive cooling during slab descent. Alternative scenarios include localized back-arc closure, transient or aborted subduction initiation, or distributed intra-arc
-
to replicate floating wind turbine farms, with particular attention to the aerodynamic modeling of individual turbines and wake modeling. The objective of this activity is to assess the effects of interactions
-
, nuclear waste), (ii) predict its behaviour for accidental contaminations, and (iii) offer relevant solutions of remediation. Reliable tools to model the transport of the interested fluids are therefore
-
]. These systems are characterized by highly nonlinear, anisotropic, and time-dependent responses governed by evolving internal mechanisms and environmental conditions, making their predictive modeling particularly
-
—these approaches can recover unmeasured near-wall structures, improve subgrid-scale modelling, and enhance predictive accuracy. Possible project directions include: 1. Reconstructing near-wall velocity fields from
-
. Your Role A key pillar of ECOWIND is bridging the gap between remote sensing technology and real-time turbine control. Your focus will be the development of a predictive capability that allows turbines
-
learning models to predict ion-exchange isotherm parametersIntegration of predicted parameters into the CADET chromatography simulation framework Simulation and analysis of batch and gradient elution
-
understand the epidemiology of IBD, including how risk evolves over time and which factors influence IBD risk, such as medication use and comorbidities. The work will also involve prediction modeling and