Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
Centrum Wiskunde en Informatica (CWI) | Amsterdam, Provincie Noord-Holland | Netherlands | about 2 months ago
mathematical analysis of the PDEs and the resulting inverse problems, as well as the development of numerical methods that can eventually be applied to large-scale wave-imaging problems. The PhD project
-
resolution. These numerical methods are the only ones capable of addressing multi-physics and multi-scale problems (e.g., urban heat islands). The operational effectiveness of these methods depends on the
-
developing novel numerical approaches, with a particular focus on Hamiltonian methods. Candidates must submit a project proposal addressing the following elements: numerical approaches to strongly
-
Structure, Data and Methods (Social Sciences), and Numerical Mathematics (Mathematics). The goal is to promote research and teaching through synergies in legal, economic, social, security-related, and
-
/ External / View Profile U of T Employee Sign In More Filter Options: Campus and Job Category Loading... Clear Create Alert Apply now » Sessional Lecturer - MMF2021H1F: Numerical Methods for
-
systems with time-delayed interactions. A major objective of this position is to develop and implement efficient numerical methods for increasingly large and complex systems of coupled nonlinear delay
-
research in computational methods for environmental and engineering applications. Develop and analyze numerical algorithms, reduced-order models, and machine-learning-enhanced simulation techniques
-
in the field of modeling and numerical methods in medical applications Coordination, proactive development and deepening of biomedical collaborations in Graz and internationally Supporting the working
-
algorithms and numerical methods for many-body dynamics beyond the reach of standard classical simulation. About the role We have a high preference for a candidates who is willing to start imminently, and
-
Mechanics or a related discipline . You will have experience with numerical modelling and/or data-centric methods and a keen interest in applying these to energy and infrastructure challenges. You should be