9 Education "Mathematics" Postdoctoral positions at CNRS

Postdoctoral fellow in the philosophy of mathematics and/or linguistics M/F

project is to develop a new area of study at the intersection of linguistics and the philosophy of mathematics: (what we call) mathematical hygiene. The term is based on the expression verbal hygiene

M/F Postdoctoral researcher in numeric analysis and scientific computing – ERC NEMESIS

Scientific Computing(ACSIOM), Didactics and Epistemology of Mathematics (DEMA), Probability and Statistics (EPS), and Geometry, Topology, and Algebra (GTA). Requirements Research FieldMathematicsEducation

Postdoctoral researcher in bacterial genomic M/F

through the EU Research Framework Programme? H2020 / ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description Develop and use bioinformatic pipelines to clean and

Post-doc position on AI-augmented boundary plasma modelling for turbulent transport simulations in WEST and ITER tokamak (M/F)

through the EU Research Framework Programme? Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Develop new AI tools for detecting and

Postdoctoral position on DUNE (M/F)

prioritize the study of charge detection and reconstruction for low-energy events. The goal being to evaluate, study, and characterize low-energy backgrounds in order to develop methods to mitigate it. Given

Postdoctoral position in quantitative immunologie et hematologie (M/F)

Research Framework Programme? HE / ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description A postdoctoral position is available to develop interdisciplinary

POSTDOCTORAL POSITION (M/F) IN DEVELOPMENT OF MOLECULAR SPECTROSCOPY METHODS FOR GREENHOUSE GAS ANALYSIS

areas to work on an ERC-funded proof-of-concept project. The goal is to develop a miniature, quantitative greenhouse gas analyzer based on our successful fiber Fabry-Perot microcavity technology. The

Researcher in " Spatial High-resolution Climate Downscaling through Generative Machine Learning" (M/F)

predictors (i.e., large-scale input information) and predictands (i.e., variables at the local scale to be simulated) are expected to change. Another mission will be to develop hybrid approaches, such as

Postdoctoral fellowship for the development of space-time and discontinuity-preserving acceleration-based Data-Driven Stress reconstruction method (M/F)

of the postdoc is to develop a new formulation of the DDI problem, accommodating strong experimental acceleration noise and allowing possible space-time discontinuities to temper spurious high-frequency