Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- Germany
- United Kingdom
- Portugal
- Sweden
- Belgium
- Norway
- United Arab Emirates
- Netherlands
- Singapore
- Italy
- Spain
- Luxembourg
- Poland
- Denmark
- Austria
- China
- Czech
- Switzerland
- Ireland
- Australia
- Estonia
- Finland
- Japan
- Hong Kong
- Romania
- Croatia
- South Africa
- Brazil
- Greece
- Israel
- Andorra
- Armenia
- Bulgaria
- Canada
- Iceland
- Lithuania
- Morocco
- New Zealand
- Sao Tome and Principe
- Saudi Arabia
- Slovenia
- Taiwan
- 34 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Economics
- Mathematics
- Science
- Biology
- Materials Science
- Earth Sciences
- Environment
- Business
- Chemistry
- Arts and Literature
- Physics
- Social Sciences
- Education
- Psychology
- Law
- Electrical Engineering
- Linguistics
- Design
- Humanities
- Philosophy
- Statistics
- 14 more »
- « less
-
Application of self-consistent continuum solvation models to account for solvation effects Collaborating with peers including experimental project partners Publishing results in academic and peer-reviewed
-
the preparation of a doctorate, contains: Hydrogeologists use numerical groundwater flow models for predicting impacts of climate change and pumping on groundwater and understanding and quantifying groundwater
-
of relevant experience in model development and the design of numerical experiments, development of novel convection schemes (e.g., Develop new functions for both deep and shallow convection schemes
-
to develop complement/augment classical CFD methods with quantum algorithms/techniques. The work lies at the intersection of multiphase flow physics, numerical modeling, and quantum computing. Who we
-
Your Job: This PhD project focuses on modelling and simulating future gas grids, exploring transformation pathways, and developing cross-sectoral simulation frameworks to support informed decision
-
. The successful candidate will contribute to the development of predictive numerical models and experimentally validated designs for intricate mechanical assemblies, deployable structures, compliant mechanisms, and
-
transfer This research combines advanced numerical simulation and artificial intelligence to develop predictive models for high-temperature multiphase flows, with specific relevance to steel casting
-
; Giauque et al., 2023). The PhD work is structured around the following key milestones: 1. Implementation and validation of real-gas model: Develop, verify and validate real gas equations of state capable
-
, testing, and analysis of resilient and sustainable geotechnical systems using centrifuge modeling. The work will bridge advanced experimental testing with complementary numerical simulation to generate
-
, and/or numerical mathematics, as well as an excellent command of a programming language, preferably Python or C/C++. The candidate should have an interest in modeling and solving a complex, coupled