Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oslo
- National University of Singapore
- University of Texas at Austin
- Center for Drug Evaluation and Research (CDER)
- Nanyang Technological University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Monash University
- University of North Carolina at Charlotte
- Aarhus University
- Brunel University
- CRANFIELD UNIVERSITY
- Harvard University
- Johns Hopkins Medicine - Laboratory of Human Biomimetics
- NTNU Norwegian University of Science and Technology
- Oslo University Hospital
- Simons Foundation/Flatiron Institute
- University of Agder
- University of Bergen
- University of Birmingham
- University of London
- University of Manchester
- University of Nottingham
- University of Oxford
- University of Science and Technology of China
- University of Sydney
- 15 more »
- « less
-
Field
-
science, develop highly sought-after expertise in complex subsurface fluid transport, and collaborate directly with leading industry and federal stakeholders. We provide a rigorous, supportive environment
-
. Work in an interdisciplinary team with expertise in mechanics, complex fluids, physics and biophysics and sustainability thinking. Follow our PhD program that include an educational component. This
-
. The areas represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry
-
fluid mechanics, computational geometry, meshing, computational graphics, computational vision, or scientific machine learning in general. Successful candidates will join a community of researchers in
-
of Singapore (NUS). The group’s general program of research involves the coupling of organic materials, mechanical forces, and electrostatics at different interfaces (e.g., solid, liquid, or gas). This coupling
-
. Experience in thermodynamic modelling and the use of simulation tools such as TRNSYS, EnergyPlus, Aspen, and Computational Fluid Dynamics software packages is essential. Instrumentation and experimentation
-
experience in marine technology and AI will be advantageous Knowledge about high performance computing and computational fluid dynamics (CFD) Knowledge about physics-informed neural networks (PINNs) Language
-
vanadium-containing electrolytes. Design and optimise novel flow field architectures using bio-inspired and hybrid design approaches, and perform computational fluid dynamics (CFD) simulations using tools
-
environments to evaluate the performance of floating structures. Analyze hydrodynamic behavior of floating breakwaters under varied sea conditions. 2. CFD and Finite Element Modeling Perform Computational Fluid
-
job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This is NTNU NTNU is a