132 estimation-methods-"https:" positions at Mathjobs.org

Assistant Teaching Professor Quantitative Methods-Psychology

[IMAGE] Assistant Teaching Professor Quantitative Methods-Psychology Position overview Position title: Assistant Teaching Professor Salary range: The current salary range for this position is $84,100

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

Tenure-Track Faculty Position in Applied Mathematics and Computational Modeling (2027–2028)

methodologies for scientifically relevant problems. The successful candidate will contribute to undergraduate and graduate teaching in areas such as Numerical Methods, Ordinary and Partial

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

Lecturer (Doctoral Schedule)

development; reviewing and implementing innovative methodologies, teaching strategies and delivery methods; planning and developing a variety of teaching methods and materials to assist students in

Tenure Track Assistant Professor -- Mathematics

utilizing a variety of teaching methods designed for broad student success. * Demonstrated participation in programs designed to promote engagement and student success. * Demonstrated ability to

Assistant/Associate/Full Professor, Applied Data Science

machine learning methodologies to address them. The search is broad and welcomes research spanning modern statistical methods, machine learning, AI, and emerging approaches to data science, with

Foundations of AI

, uncertainty quantification and probabilistic methods, and integrating any area of mathematics research and AI. The successful candidate will be expected to develop a leading research program, contribute to

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