Sort by
Refine Your Search
-
Category
-
Country
-
Employer
-
Field
-
Mathjobs.org | about 1 month ago
application. University of Houston Application: https://careers.uh.edu/jobs/post-doctoral-fellow-dynamical-systems-houston-texas-united-states Important: Completion of the MathJobs application alone does
-
application. University of Houston Application: https://careers.uh.edu/jobs/post-doctoral-fellow-dynamical-systems-houston-texas-united-states Important: Completion of the MathJobs application alone does
-
representation learning, dynamical systems, sequence generative models and world modelling. Emphasis will be on methods that design and implement new architectures for latent dynamic modelling to
-
methods; optimisation and computational methods for dynamical systems; cyber-physical systems. A strong understanding of mathematical modelling and analysis of dynamical systems. Experience in
-
project developing numerical methods to simulate the flow of dense viscous liquids through a deformable granular mush. The project aims to improve fluid-dynamical understanding of how magmatic ore
-
following: geometry, optimization, dynamical systems, mechanics, probability and statistics, data science, machine learning Evidence of potential for excellence in research Enthusiasm for applying
-
particular statistical physics, dynamical systems and stochastic processes, together with strong numerical and programming skills. Prior knowledge of soft condensed matter, phase separation or cellular biology
-
learning-assisted methods: data assimilation, uncertainty quantification (UQ), and machine-learning-based moment closure models. · Multiscale modeling: kinetic limits of many-particle dynamical systems
-
department has 30 regular faculty members, and has leading research programs in Scientific Computing Methods, Mathematical & Quantum Physics, Environmental & Geophysical Fluid Dynamics, Control & Dynamical
-
computational physiology, dynamical systems modeling, and enzyme kinetics. Proven ability to conduct independent research while contributing effectively within a collaborative, multidisciplinary team. Strong