Sort by
Refine Your Search
-
different mixing and reactive properties compared to conventional fuels. In this project, turbulent mixing and combustion of hydrogen in air will be studied through optical experiments and numerical modelling
-
numerical methods used to design wind turbines and understand turbulent combustion in jet engines, this research aims to address critical computational challenges in simulating the physical dynamics
-
to methods and principles aimed at understanding and modelling the mechanics of deformable bodies. Solid mechanics is a core discipline in mechanical engineering and is of fundamental importance to many other
-
to reduce the complexity in simulating lake physical dynamics at scale. Borrowing from numerical methods used to design wind turbines and understand turbulent combustion in jet engines, this research aims
-
application! Work assignments The Division of Automatic Control at the Department of Electrical Engineering has a vacant post-doctoral position in the area of numerical methods for motion planning and
-
propagation problems, stochastic partial differential equations, geometric numerical integration, optimization, biomathematics, biostatistics, spatial modeling, Bayesian inference, high-dimensional data, large
-
. Main responsibilities Your main tasks will include: Conducting research involving numerical modeling and experimental work. Collaborating with academic and industry stakeholders. Publishing results in
-
, which specializes in climate dynamics, numerical modeling, greenhouse gas emissions, and data-fusion methods, including data assimilation. This position offers opportunities for collaboration with both
-
than the time the employment decision is made. Research expertise demonstrated by peer-reviewed scientific publications Documented experience in numerical modelling of fusion plasma Preferred
-
dysfunction in disease and aging. By combining genetic, biochemical, and structural approaches with animal models and patient material, the division seeks to increase our understanding of mitochondrial disease