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-driven methods provide excellent performance under low or cyclo-stationary regimes but struggle with highly dynamic and rapidly varying conditions; conversely, model-based state observers ensure robustness
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14 Mar 2026 Job Information Organisation/Company CNRS Department Géosciences Environnement Toulouse Research Field Mathematics History » History of science Researcher Profile First Stage Researcher
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for harnessing Large Language Model technology to support practice in children’s social care, through collaboration with researchers in Artificial Intelligence, contributing to the overall research performance
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Synchronization of turbulent channel flow School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Yi Li, Dr Ashley Willis Application Deadline: Applications accepted all
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synaptic resilience and the reliability of synaptic responses. The work primarily involves mathematical modeling and numerical simulation, but also the analysis of experimental datasets for model validation
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Job description: DESY The CMS Quantum Computing group develops generative machine learning models for detector simulations, specifically the simulation of showers in calorimeters: Proof-of-principle
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Institut de Recherche en Génie Civil et Mécanique (GeM) | Saint Nazaire, Pays de la Loire | France | 25 days ago
mechanical data acquired under representative physiological conditions. The DECISION project develops a multiphysics mathematical model describing the behaviour of injectable antibacterial composite materials
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mixing modelling and mathematical properties related to thermodynamics, Development of numerical simulation within an open-source code, Writing skills, ability to formulate a scientific project, publish
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school in mechanical, electrical, HVAC/energy or applied engineering, energy modeling/analysis, mathematics, statistics or a related field; over eight years of related and progressively more responsible or
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requirement. Experience from both marine ecology and evolutionary ecology is an advantage. Skills and experience in mathematics, computer programming, and/or mechanistic modelling frameworks is an advantage