Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- France
- Sweden
- Germany
- Netherlands
- Norway
- Singapore
- Spain
- Denmark
- Italy
- Switzerland
- Belgium
- United Arab Emirates
- Austria
- Canada
- China
- Morocco
- Poland
- Portugal
- Australia
- Czech
- Estonia
- Finland
- Japan
- Armenia
- Hong Kong
- India
- Ireland
- Israel
- Romania
- Taiwan
- Vietnam
- 23 more »
- « less
-
Program
-
Field
-
Computational Fluid Dynamics. While traditional methods rely on a discretization of the Navier-Stokes equations at a macroscopic level, the LB method considers the fluid at a kinetic level. Capturing the dynamics
-
: Computational Fluid Dynamics Appl Deadline: 2025/11/14 11:59PM (posted 2025/10/22, listed until 2026/04/22) Position Description: Position Description About Us Ardent Process Technologies is on a mission to
-
will be responsible for developing and applying thermal and dynamic models for modelling behaviour of a liquid hydrogen tank, coupled to the behaviour of the contained fluid, as well as aspects of tank
-
exchange between soil and water, and algorithms for oxygen and carbon dioxide transport, including organic matter dynamics (production and consumption). The model will solve equations for the dissolved phase
-
weather forecasting to cardiovascular medicine. Computational tools for simulating such processes - both traditional based e.g. on computational fluid dynamics and more recent based on AI/machine learning
-
the courses attended on the following topics: Analysis of Partial Differential Equations, Continuum Mechanics and Fluid Dynamics, Functional Analysis, Numerical Analysis, Probability and Stochastic Processes
-
fluid. Based on this, an innovative biomarker platform will be rolled out that aims to increase the success rate of early-phase clinical studies and ultimately accelerate the development of an effective
-
gases in the atmosphere. Derivation of parameters necessary for the calculation of regional atmospheric effects. Secondments: von Karman Institute for Fluid Dynamics (VKI, Sint-Genesius-Rode, Belgium, ca
-
prior knowledge and experience in fluid mechanics, for both steady and unsteady flow behaviours Relevant experience in both commercial (ANSYS Fluent preferably) and opensource CFD code (OpenFoam
-
. Computational tools for simulating such processes - both traditional based e.g. on computational fluid dynamics and more recent based on AI/machine learning - constitute fundamental scientific domains that act as