Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Technical University of Denmark
- Nature Careers
- DAAD
- University of Sheffield
- ; The University of Manchester
- Cranfield University
- ; Swansea University
- ; University of Surrey
- Chalmers University of Technology
- Eindhoven University of Technology (TU/e)
- Technical University Of Denmark
- Technical University of Munich
- Université Libre de Bruxelles (ULB)
- ;
- ; The University of Edinburgh
- ; University of Birmingham
- ; University of Oxford
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Ecole Polytechnique Federale de Lausanne
- Eindhoven University of Technology (TU/e); Eindhoven
- Empa
- Ghent University
- Helmholtz Zentrum Hereon
- Helmholtz-Zentrum Geesthacht
- Leibniz
- MASARYK UNIVERSITY
- Max Planck Institute for Sustainable Materials •
- Max Planck Institutes
- Monash University
- NORCE
- NTNU - Norwegian University of Science and Technology
- National Renewable Energy Laboratory NREL
- Newcastle University
- Queensland University of Technology
- UiT The Arctic University of Norway
- University of Adelaide
- University of Antwerp
- University of Louisville
- University of Nottingham
- University of Paris-Saclay
- University of Pittsburgh
- University of Twente
- Université Paris-Saclay (UPS)
- Vrije Universiteit Brussel
- Wageningen University & Research
- Wageningen University and Research Center
- 37 more »
- « less
-
Field
-
automation Earth processing Computational fluid dynamics Numerical process modelling Rheology Furthermore, the candidate should be motivated to work collaboratively as part of a team. You must have a two-year
-
Establishment). Recent work by the group (leading to REF 4* rated outputs and several Keynotes) has contributed to bridging the gap between Computational Solid and Fluid Dynamics, with a unified computational
-
the areas of fluid dynamics, turbulence and net-zero combustion. There is substantial scope for the student to direct the project with the main focus on (i) Generating an advanced Direct Numerical Simulation
-
initiation in the following areas are helpful: Strong background on computational fluid dynamics (CFD) and design software using ANSYS and SolidWorks. Experience on high performance computing is desirable
-
that merge thermo-fluid dynamic laws, deep learning, and experimental data. A central goal is to overcome current limitations in TES operation and optimization, enabling discovery of new high-performance and
-
Computational Fluid Dynamics (CFD) models; data-based models determined from training/calibration data by system/parameter identification and machine learning. The key challenge is striking a balance between, on
-
transitions, flow dynamics, stratification) inside thermal storages containing PCMs? How can we describe via validated multi-physics simulation models; heat transfer, flow behavior, and phase changes? Your task
-
Vacancies PhD position on the design and fabrication of MEMS drag force-based flow and fluid composition sensors Key takeaways In this project, we will combine well-known thermal flow sensing
-
collaboration with DENS solutions company. Femto-Cryo will use 3D printed fluid force microscopy (FluidFM) cantilevers from TU Delft, and CryoSilico cryo-EM sample supports from DENS solutions to develop a novel
-
by using commercial software such as Ansys, Abaqus, SolidWorks, etc. Experience in computational fluid dynamics (CFD) modelling or finite element (FE) modelling; Fundamental knowledge in fluid