32 estimation-methods-"https:" Postdoctoral positions at Mathjobs.org

Postdoctoral Research Fellow: Computational Methods for Fluid-Granular Flows

Join an ARC-funded research project developing numerical methods to simulate the flow of dense viscous liquids through a deformable granular mush. The project aims to improve fluid-dynamical

Postdoctoral Associate

(QBio). Our research connects mathematical and statistical foundations with computational methods, drawing on challenges in structural biology to develop ideas with broader applications across data

Postdoctoral Associate

Equation, Stochastic simulation algorithms, and approximation methods. ● Experience with single-cell or spatial transcriptomic data analysis. ● Familiarity with machine learning and deep learning methods

TMDC Postdoctoral Associate

computational methods and collaborate with translational scientists and clinicians to apply mathematical modeling to accelerate the development of novel therapies for cancer, neurodegenerative

Postdoctoral Fellow in Bayesian Computation

The Postdoctoral Fellow in Bayesian Computation will support the development of statistical methods based on Bayesian recalibration techniques using flexible transforms of surrogate models. These

Tenure-Track Faculty Position in Mathematics for AI and Scientific Discovery (2027–2028)

developing mathematical, statistical, and computational foundations for modern artificial intelligence, particularly researchers interested in using these methods to advance scientific discovery. This

Postdoctoral Associate in Mathematical Foundations of Generative AI

analysis, numerical analysis, sampling methods, optimization, scientific computing, or related areas, together with research experience in at least one class of modern generative models, are

Post-doc position in Hai Zhu’s Group, Institute for Theoretical Sciences, Westlake University

Group Introduction The Hai Zhu Group conducts research in numerical methods and scientific computing. Research interests include, but are not limited to, numerical methods for partial differential

Postdoc

methods. The project broadly investigates quantum algorithms and the boundary of efficient classical simulation, including variational and measurement-based quantum computation. It also includes a

Postdoctoral Fellow

Numerical Methods (e.g., for PDEs, kinetic equations, high-dimensional problems); * Plasma Physics and Fusion Energy Science; * Quantum Device Simulation / Quantum Technologies; * High performance