18 agent-based-model Postdoctoral positions at Mathjobs.org

Postdoctoral Fellow in Bayesian Computation

methods will be benchmarked on a variety of applications based on models with intractable likelihoods and computationally expensive stochastic simulators, such as large-scale agent-based models in

Postdoctoral Research Fellow: Computational Methods for Fluid-Granular Flows

be responsible for developing novel numerical methods to model continuum problems in a two-liquid/granular medium and for interpreting the results physically. These models will capture how a dense

Postdoctoral Researcher

theory, Specht problem, combinatorial geometry, affine algebraic geometry Lena Bunina Model theory, AI in mathematics, algebraic groups model theory of groups, Chevalley groups, applications of AI to

Postdoctoral Researcher

, Representation theory Gilad Gour Quantum Information Max Gurevich Representation Theory Yatir Halevi Logic, Model Theory Emanuel Milman Isoperimetric, Functional and concentration inequalities, Convex

Postdoctoral Research Associate

. Existing oceanic observations will be used throughout to identify the relevant regimes and evaluate results. Parameterisation schemes will be implemented and assessed in a regional Arctic model in

Postdoctoral Researcher

community is fully international, with more than 50 countries represented. OIST is rapidly gaining recognition in the worldwide academic community as a model for excellence in education and research

Postdoctoral Researcher, Analysis on Metric Spaces

more than 50 countries represented. OIST is rapidly gaining recognition in the worldwide academic community as a model for excellence in education and research. Position summary: Postdoctoral

Postdoctoral Researcher

academic community as a model for excellence in education and research. Position summary: There are two openings for the postdoctoral researcher position at the Analysis and Partial Differential

POSTECHCM2LAPOSTDOC

. CM2LA has three research groups dedicated to advancing mathematical machine learning and AI: • Large-Scale Physics Based AI (Group 1): Studies large-scale physics-based and scientific machine learning

Postdoc

& Topology Group (BilQCT), led by Assistant Professor Cihan Okay. We are developing novel classical simulation algorithms based on polyhedral geometric extensions of stabilizer theory and phase-space