12 data Postdoctoral positions at Mathjobs.org

Postdoc in Mathematics

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Postdoctoral Associate

Position Overview: Successful candidates will join Roy Lederman's research group, which is affiliated with the Department of Statistics and Data Science (S&DS) and the Quantitative Biology Institute

2027 Luis W Alvarez and Grace M Hopper Postdoctoral Fellowships

Postdoctoral Fellowship, and * Admiral Grace M. Hopper Postdoctoral Fellowship Researchers in computer science, mathematics, data science, or any computational science discipline who will have received

Research Associate (Postdoc) – 2nd qualification period (for the initial appointment to a full professorship)

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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

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

-constrained machine learning, neural differential equations, operator learning, machine learning for dynamical systems, and hybrid mechanistic/data-driven models. · Computational methods for scientific

Postdoctoral Researcher

mathematics Shira Faigenbaum-Golovin Manifold learning, shape space analysis, machine learning, mathematics of data science Mathematical modeling and manifold learning of high-dimensional data geometry

Postdoctoral Research Associate in Rough Path Theory for Applications

for streamed data that enhance contemporary generative and large language models”. They will be expected to conduct research which falls within the remit of this large-scale project and will have the

Postdoctoral Research Fellow: Computational Methods for Fluid-Granular Flows

opportunities to work with the project's economic geology team, testing your models against real field and experimental data and seeing your results feed directly into questions about how magmatic ore

POSTECHCM2LAPOSTDOC

optimization, neural network models, statistics and topological data analysis, applied to neuroscience and genomics. • Mathematical Modeling and Analysis (Group 3): Studies mixed-scale systems such as fluid