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of singular foliations, working with advanced tools like groupoids, cyclic cohomology, C*-algebras and K‑theory. The Department of Mathematics is seeking a highly motivated PhD candidate for a research position
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Mathematics Department as a PhD candidate and explore cutting‑edge invariants of singular foliations, working with advanced tools like groupoids, cyclic cohomology, C*-algebras and K‑theory. The Department
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Your Job: Healthy brain function relies on dynamic changes at the synapse. The relevant synaptic turnover and plasticity processes span spatial scales from the molecular up to the network level, and
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knowledge of mathematics (e.g. linear algebra, probability, statistics, stochastic processes) Experience of developing in larger projects While we don’t expect applicants to know biology, applicants
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for collection, organization, analysis, and display of scientific or geographic data. Build robust end-to-end data processing pipelines, including data cleaning, feature engineering, and management for multimodal
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well as strong skills in linear algebra and signal processing. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UPR3346-NADMAA-158/Default.aspx Work Location(s) Number of offers
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mechanical engineering, aerospace engineering or a related field. The candidate must have proven experience in numerical simulation in fluid mechanics and/or aeroacoustics; strong background in linear algebra
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candidate must have a proven experience in numerical simulation in fluid mechanics and/or aeroacoustics, as well as strong skills in linear algebra and signal processing. Website for additional job details
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related field. The candidate must demonstrated experience in numerical simulation in fluid mechanics and/or aeroacoustics; strong expertise in linear algebra and signal processing. Website for additional
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with coalescent theory from population genetics. The central idea is to replace heuristic discrete denoising schemes with coalescent-inspired stochastic processes, leveraging the deep duality between