Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
-electro-catalytic (PEC) processes. In particular, it proposes to integrate within the CatalyticFoam multiscale modeling framework the multiphase fluid dynamic description, light transport and its
-
preferably have: Specialization in Fluid Mechanics and/or Heat Transfer research. Documented experience deploying computational fluid dynamics (CFD) methodology. Competence in both Portuguese and Spanish
-
, experience with Discrete Element Method or similar simulation software, and knowledge in Computational Fluid Dynamics. Additional experience in process control systems, industrial optimisation, and technology
-
and other complex fluids using molecular simulations. In order to make these simulations more computationally feasible, development of coarse-grained models and new Monte Carlo or molecular dynamics
-
bachelor's, master's and doctoral degree programs offered, UT Tyler provides a wealth of learning opportunities and dynamic programs. For more information, please visit https://www.uttyler.edu/about/ . Why
-
, mechatronics, thermal, fluids). Expertise in engineering design (mechanics, team-based, numerical, computer-aided). Ability to develop and teach upper-level undergraduate and graduate courses. Demonstrated
-
Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The objective of this post-doctoral research is to
-
. This PhD project will investigate how biofouling affects the hydrodynamic, thermal and fluid-structure interaction performance of dynamic flexible cables and develop novel engineering solutions to enhance
-
will join the growing team of researchers on the ERC project CONTEXT, working at the intersection of scientific machine learning and fluid dynamics, under the supervision of Anh Khoa Doan. You will also
-
applications. The project integrates: Computational Fluid Dynamics (CFD) and multiphase flow modeling Radiative heat transfer Machine learning and reduced-order modeling Data-driven optimization for industrial