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on the solid application of scientific research method. The department has a pluralistic approach to research methods that includes, for example, formal theoretical models, quantitative empirical methods such as
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of the MOST (Modelling and Simulation of Turbulence) team focus on the numerical prediction of turbulent and multiphase flows with a broad range of objectives from fundamental understanding of flow properties
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experimental methods are available and currently fully operational in the laboratory. Collaborative Environment: Centrifugal instabilities are not limited to magnetized plasma columns in the laboratory but also
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sensitivity, on resistance evolution. As model pathogen, we will focus on UTI E. coli and/or lung-infecting Pseudomonas aeruginosa. As a general reference, check out the group’s publications on AMR evolution
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capture applications. Targeting industrial-scale deployment, the project addresses key barriers that currently limit the implementation of membrane-based gas separation technologies, including
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on the basis of the following criteria: Technical competencies Strong ability to design and optimize integrated optic devices, model their optical, optoelectronic, thermal-optical properties using commercial and
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | about 1 month ago
. Knowledge of Large Language Models, agentic AI, privacy-enhancing technologies, or information-flow analysis is a plus. Interest in experimental research, system implementation and rigorous evaluation. Good
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offers the opportunity to contribute to an emerging area of interdisciplinary research that brings together artificial intelligence and advanced materials modelling to address key challenges in
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accompanied by relevant evidence, uncertainty estimates, and transparent explanations aligned with current clinical guidelines? Preferred starting date: 1 November 2026 Where to apply Website https
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This PhD project will investigate partial differential equations arising from kinetic models, with a particular focus on variational methods. The research will explore how variational structures